Next Article in Journal
The Optimal Consumption, Investment and Life Insurance for Wage Earners under Inside Information and Inflation
Previous Article in Journal
Dynamic Generation Method of Highway ETC Gantry Topology Based on LightGBM
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Expansion Theory of Deng’s Metric in [0,1]-Topology

1
Space Star Technology Co., Ltd., Beijing 100095, China
2
Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
4
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(15), 3414; https://doi.org/10.3390/math11153414
Submission received: 19 June 2023 / Revised: 22 July 2023 / Accepted: 31 July 2023 / Published: 4 August 2023

Abstract

:
The aim of this paper is to focus on a fuzzy metric called Deng’s metric in [ 0 , 1 ] -topology. Firstly, we will extend the domain of this metric function from M 0 × M 0 to M × M , where M 0 and M are defined as the sets of all special fuzzy points and all standard fuzzy points, respectively. Secondly, we will further extend this metric to the completely distributive lattice L X and, based on this extension result, we will compare this metric with the other two fuzzy metrics: Erceg’s metric and Yang-Shi’s metric, and then reveal some of its interesting properties, particularly including its quotient space. Thirdly, we will investigate the relationship between Deng’s metric and Yang-Shi’s metric and prove that a Deng’s metric must be a Yang-Shi’s metric on I X , and consequently an Erceg’s metric. Finally, we will show that a Deng’s metric on I X must be Q C 1 , and Deng’s metric topology and its uniform structure are Erceg’s metric topology and Hutton’s uniform structure, respectively.
MSC:
54A40; 03E72; 54E35

1. Introduction

In 1968, C.L. Chang [1] introduced the fuzzy set theory of Zadeh [2] into general topology [3] for the first time, which declared the birth of [ 0 , 1 ] -topology. Soon after that, J.A. Goguen [4] further generalized the L-fuzzy set to the proposed [ 0 , 1 ] -topology and his theory has been recognized as L-topology nowadays. From then on, this kind of lattice-valued topology formed another important branch of topology and thereafter many creative results and original thoughts have been presented (see [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38], etc.).
Nevertheless, how to reasonably generalize the classical metric to the lattice-valued topology has always been a great challenge. So far, there are a significant number of fuzzy metrics introduced in the branch of learning (see [6,12,14,15,29,30,31,32,33,39,40,41,42], etc.). Considering that the codomain is either ordinary number or fuzzy number, these metrics are roughly divided into two types.
One type is composed of these metrics, each of which is defined by such a function whose distance between objects is fuzzy, while the objects themselves are crisp. Additionally, each of them always induces a fuzzifying topology. In recent years, these metrics have been promoted by many experts, such as I. Kramosil, J. Michalek, A. George, P. Veeramani, V. Gregori, S. Romaguera, J. Gutiérrez García, S. Morillas, F.G. Shi, etc. (see [17,18,32,33,40,43,44,45,46,47,48,49], etc.).
The other type consists of these metrics, each of which is defined by such a mapping p : M × M [ 0 , + ) , where M is the set of all standard fuzzy points of the underlying classical set X. In this case, every such fuzzy metric always induces a fuzzy topology (see [6,12,13,14,31,36], etc.).
Regarding the latter, there are roughly three kinds of fuzzy metrics in the history, with which the academic community has gradually become familiar. Regarding the three fuzzy metrics, we will list them below one by one.
The first is Erceg’s metric, presented by M.A. Erceg [14] in 1979. Since then, many scholars have been engaged in its research and have obtained many compelling results on this fuzzy metric. Among them, a typical conclusion is the Urysohn’s metrization theorem presented by J.H. Liang [24] in 1984: an L-topological space is Erceg-metrizable if it is T 1 , regular and C I I . In 1985, M.K. Luo [26] listed an example of Erceg’s metric on I X whose metric topology has no σ -locally finite base. Therefore, the [ 0 , 1 ] -topological space of this example is not C I I , of course. Later on, based on Peng’s simplification method [50], Erceg’s metric was further simplified by P. Chen and F.G. Shi (see [9,10]) as seen below:
(I) An Erceg’s pseudo-metric on L X is a mapping p : M × M [ 0 , + ) satisfying the following properties:
(A1)
if a b , then p ( a , b ) = 0 ;
(A2)
p ( a , c ) p ( a , b ) + p ( b , c ) ;
(B1)
p ( a , b ) = c b p ( a , c ) ;
(A3)
a , b M , x a s.t. p ( b , x ) < r y b s.t. p ( a , y ) < r .
An Erceg’s pseudo-metric p is called an Erceg’s metric if it further satisfies the following property:
(A4)
if p ( a , b ) = 0 , then a b .
where is the way below relation in domain theory and L X is a completely distributive lattice [51,52,53].
The second is Yang-Shi’s metric (or p.q. metric), proposed by L.C. Yang [36] in 1988, where Yang also showed such a result: each topological molecular lattice with C I I property is p.q.-metrizable. After that, this kind of metric was studied in depth by F.G. Shi and P. Chen (see [9,10,29,30,31], etc.), whose definition is as follows:
(II) A Yang-Shi’s pseudo-metric (resp., Yang-Shi’s metric) on L X is a mapping p : M × M [ 0 , + ) satisfying (A1)–(A3) (resp., (A1)–(A4)) and the following property:
(B2)
p ( a , b ) = c a p ( c , b ) .
The third is Deng’s metric, supplied by Z.K. Deng [12] in 1982. Soon, Deng [13] proved that if a [ 0 , 1 ] -topological space is T 1 , regular and C I I , then it is Deng-metrizable. Unfortunately, since Deng’s research is only limited to this special lattice I X and the family of special fuzzy points M 0 (see Definition 1), not many scholars later studied this metric. In this paper, we will extend the domain of Deng’s pseudo-metric from I X to L X and its definition from M 0 to a class of standard fuzzy points M (see Definition 8 in this paper) as seen below:
(III) An extended Deng’s pseudo-metric (resp., extended Deng’s metric) on L X is a mapping p : M × M [ 0 , + ) satisfying (A1)–(A3) (resp., (A1)–(A4)) and the following condition:
(B3)
p ( a , b ) = b c p ( a , c ) .
Therefore, based on this extension result, we will compare this metric with the other two fuzzy metrics, Erceg’s metric and Yang-Shi’s metric, and then reveal some of its interesting properties, particularly including its quotient space. Additionally, we will investigate the relationship between Deng’s metric and Yang-Shi’s metric and prove that a Deng’s metric must be a Yang-Shi’s metric on I X , and consequently a Deng’s metric also must be an Erceg’s metric. Finally, we also will show that a Deng’s metric on I X must be Q C 1 , and Deng’s metric topology and its uniform structure are Erceg’s metric topology [14] and Hutton’s uniform structure [22], respectively.

2. Preliminaries

All through this paper, ( L , , , ) is a completely distributive lattice with an order-reversing involution “ ” [51,52]. X is a nonempty set. L-fuzzy set in X is a mapping A : X L , and L X is the set of all L-fuzzy sets. If L = [ 0 , 1 ] and denote [ 0 , 1 ] as I, then each element in I X is claimed a fuzzy set in X [2]. A subfamily δ of I X is called a [ 0 , 1 ] -topology if it satisfies the following three conditions: (O1) 1 ̲ , 0 ̲ δ ; (O2) if A , B δ , then A B δ ; (O3) if { A λ λ Λ } δ , then λ Λ A λ δ . The pair ( X , δ ) is called a [ 0 , 1 ] -topological space. Two fuzzy sets A and B are quasi-coincidence if there is x such that A ( x ) + B ( x ) > 1 (see [53,54,55]). An open set A [12] is called an open neighborhood of x λ if λ < A ( x ) . X ( x ) 1 and X ( x ) 0 are denoted by 1 ̲ and 0 ̲ , respectively. And a is way belowb, denoted by a b , if and only if for every directed subset D L X , the relation b sup D always implies the existence of d D with a d (“≤” refers to the following Definition 3). A family of fuzzy sets Ψ is called locally finite (resp., discrete) in a space ( X , δ ) if and only if each fuzzy point x λ of the space has an open neighborhood which is quasi-coincidental with only finitely many members (resp., at most one member) of Ψ (see [52]). A family of fuzzy sets is called σ -locally finite (resp., σ -discrete) in a space ( X , δ ) if and only if it is the union of a countable number of locally finite (resp., discrete) subfamilies. A subfamily σ of I X (resp., σ of δ ) is called a (resp., an open) cover of a fuzzy set A in a space ( X , δ ) if for each x α A , there exists B belonging to σ such that x α B . Stipulate Ø = 0 ̲ , and Ø = 1 ̲ .
In addition, the subsequent proofs also require some preliminary knowledge of definitions and theorems as follows:
Definition 1
([12]). A special fuzzy point x λ in X is a fuzzy set with membership function x λ : X I defined by
x λ ( y ) = λ , y = x ; 0 , y x ,
where λ ( 0 , 1 ) . x λ ( y ) is usually written simply as x λ . x, λ, and x 1 λ are called support, value, and complementary point of x λ , respectively, and the family of all special fuzzy points is denoted by M 0 .
With the help of the above special fuzzy point, Deng [12] put forward a type of fuzzy metric as follows:
Definition 2
([12]). A Deng’s pseudo-metric on I X is a mapping p : M 0 × M 0 [ 0 , + ) satisfying the following conditions:
(A1)
if λ 1 λ 0 , then p ( x λ 1 , x λ 0 ) = 0 ;
(A2)
p ( x λ 1 , z λ 3 ) p ( x λ 1 , y λ 2 ) + p ( y λ 2 , z λ 3 ) ;
(A3)
if p ( x λ 1 , y λ 2 ) < r , then λ > λ 2 such that p ( x λ 1 , y λ ) < r ;
(A4)
p ( x λ 1 , y λ 2 ) = p ( y 1 λ 2 , x 1 λ 1 ) .
A Deng’s pseudo-metric p is called a Deng’s metric if it further satisfies the following condition:
(A5)
if p ( x λ 1 , y λ 2 ) = 0 , then x = y , λ 1 λ 2 .
Definition 3
([12]). Let x α , y β belong to M and let A, B be fuzzy sets in X. Then,
(1)
x α A α A ( x ) ;
(2)
x α A α < A ( x ) ;
(3)
x α y β x = y , α β ;
(4)
A = B A ( x ) = 1 B ( x ) , x X .
Definition 4
([12]). Let p be a Deng’s pseudo-metric on I X and let r 0 and a M 0 . Define U r ( a ) = { b M 0 p ( a , b ) < r } . Then, U r ( a ) is called an open sphere of p.
Theorem 1
([12]). If p is a Deng’s pseudo-metric on I X , then the family of arbitrary unions of members of open spheres { U r ( a ) | a M 0 , r [ 0 , + ) } is a fuzzy topology denoted by ζ p , and { U r ( a ) | a M 0 , r [ 0 , + ) } is a base for ζ p .
Therefore, the pair ( I X , ζ p ) and ζ p are called Deng’s pseudo-metric space and Deng’s pseudo-metric topology, respectively.
Definition 5
([12]). The closure A ¯ of a fuzzy set A is the intersection of the members of the family of all fuzzy closed sets containing A.
Definition 6
([13]). ( I X , δ ) is T 1 if and only if for each q M 0 , q = q ¯ .
Definition 7
([52]). ( I X , δ ) is said the second axiom of countability denoted by C I I if and only if there is a countable base for δ.
Pu and Liu [54] and Wang [52] have developed convincing theories about the Q-neighborhood and Remote-neighborhood, respectively. Therefore, corresponding with these theories, nowadays a standard fuzzy point on I X has been accepted widely as follows:
Definition 8
([52,53,54]). y α ( x ) I X is called a standard fuzzy point if y α ( x ) satisfies
y α ( x ) = α , y = x ; 0 , y x ,
where α ( 0 , 1 ] . For convenience, y α ( x ) is denoted by y α . The set of all standard fuzzy points is denoted by M.
Definition 9.
For any r 0 and a M , define B r ( a ) = { b p ( a , b ) r } , where p is a mapping from M × M to [ 0 , + ) .
Definition 10
([24,25,54]). Let ( X , δ ) be a [0, 1]-topological space. An open set B is called an open neighborhood of a fuzzy set A if A < B . An open set A is called a Q-neighborhood of x λ if λ + A ( x ) > 1 . If the family Q ( x λ ) = { A A is a Q-neighborhood of x λ } is countable for each x λ , then the space ( X , δ ) is called Q C 1 .
Theorem 2
([30]). If p is a Yang-Shi’s pseudo-metric on L X , then it is Q C I .
Theorem 3
([12]). If p is a Deng’s pseudo-metric on I X , then for any A I X , A = { a | r > 0 , a M 0 , U r ( a ) A } .
Theorem 4
([12]). Let υ belong to I X . Then, υ = { x α M 0 | x α υ } = { x λ M 0 | x λ υ } .
Definition 11
([12]). A fuzzy point x α is called a cluster point of a fuzzy set A if and only if each neighborhood of x 1 α is quasi-coincidence with A.
Theorem 5
([12,52]). Let A be a fuzzy set. Then, x α A ¯ if and only if x α is a cluster point of A. Evidently, A ¯ = { x α | x α is a cluster point of A}.
Theorem 6
([30]). Let p be a Yang-Shi pseudo-metric on L X and define P r ( b ) = { c M p ( c , b ) r } . Then, for c , b M , c P r ( b ) p ( c , b ) r .
Theorem 7
([10]). Let p be a Erceg pseudo-metric on I X . For any a M 0 and each r [ 0 , 1 ) define B r ( a ) = { b M 0 p ( a , b ) r } . Then,
(1)
B r ( a ) ¯ = B r ( a ) ;
(2)
b B r ( a ) p ( a , b ) r .
Theorem 8
([10]). If p is a Yang-Shi pseudo-metric on L X , then it is an Erceg pseudo-metric. However, the converse is not true.

3. Expansion Theorem of Deng’s Metric

In this section, we will show that Deng’s metric can be equivalently defined by using M 0 and M, and then its corresponding metric topology and uniform structure are Erceg’s metric topology [14] and Hutton’s uniform structure [22], respectively.
Definition 12.
An extended Deng’s pseudo-metric metric on I X is a mapping p : M × M [ 0 , + ) satisfying the following conditions:
(E1)
if a b , then p ( a , b ) = 0 ;
(E2)
p ( a , c ) p ( a , b ) + p ( b , c ) ;
(E3)
p ( a , b ) = b < c p ( a , c ) ;
(E4)
a , b M , x b such that p ( a , x ) < r y a such that p ( b , y ) < r .
Theorem 9.
If p is a Deng’s pseudo-metric on I X , then p can be extended to p * : M × M [ 0 , + ) and p * is an extended Deng’s pseudo-metric.
Proof. 
Based on the given conditions, we can construct a mapping p * : M × M [ 0 , + ) as follows:
(a)
i f a , b M 0 , t h e n p * ( a , b ) = p ( a , b ) ;
(b)
i f a M 0 , b = y 1 , t h e n p * ( a , y 1 ) = e < 1 p ( a , y e ) ;
(c)
i f a = x 1 , b M 0 , t h e n p * ( x 1 , b ) = e < 1 p ( x e , b ) ;
(d)
i f a = b = y 1 , t h e n p * ( y 1 , y 1 ) = 0 ;
(e)
i f a = x 1 , b = y 1 , a b , t h e n p * ( x 1 , y 1 ) = c < 1 p * ( x c , y 1 ) = c < 1 e < 1 p ( x c , y e ) .
Next, we will prove that p * satisfies (E1)–(E4) and p = p * | M 0 × M 0 .
(E1). Case 1. For any y 1 M , by (d) we can obtain p * ( y 1 , y 1 ) = 0 . Case 2. For any y λ M 0 , by (c) we can obtain p * ( y 1 , y λ ) = α < 1 p ( y α , y λ ) = 0 . Therefore, p * satisfies (E1).
(E2). Case 1. Let x 1 , z 1 , b M . Assume that x 1 = z 1 . Then, it is evident that p * ( x 1 , y λ ) + p * ( y λ , z 1 ) p * ( x 1 , z 1 ) = 0 . Assume that x 1 z 1 . Then, we can obtain the following situations:
(1) Let b = y λ M 0 . By definition, we have
p * ( x 1 , z 1 ) p * ( x 1 , y λ ) + p * ( y λ , z 1 ) α < 1 γ < 1 p ( x α , z γ ) α < 1 p ( x α , y λ ) + γ < 1 p ( y λ , z γ ) .
Since x α , z γ , y λ M 0 , it is true that p ( x α , z γ ) p ( x α , y λ ) + p ( y λ , z γ ) . Therefore, we have
γ < 1 p ( x α , z γ ) p ( x α , y λ ) + γ < 1 p ( y λ , z γ ) ,
and then α < 1 γ < 1 p ( x α , z γ ) α < 1 p ( x α , y λ ) + γ < 1 p ( y λ , z γ ) .
(2) Let b = y 1 . If y 1 = x 1 or y 1 = z 1 , then
p * ( x 1 , z 1 ) p * ( x 1 , y 1 ) + p * ( y 1 , z 1 ) p * ( x 1 , z 1 ) p * ( x 1 , x 1 ) + p * ( x 1 , z 1 ) = p * ( x 1 , z 1 )
or
p * ( x 1 , z 1 ) p * ( x 1 , y 1 ) + p * ( y 1 , z 1 ) p * ( x 1 , z 1 ) p * ( x 1 , z 1 ) + p * ( z 1 , z 1 ) = p * ( x 1 , z 1 ) .
Therefore, p * satisfies (E2).
Hence, let us assume that y 1 x 1 and y 1 z 1 . In this case, we have the following formula:
p * ( x 1 , z 1 ) p * ( x 1 , y 1 ) + p * ( y 1 , z 1 ) α < 1 γ < 1 p ( x α , z γ ) α < 1 β < 1 p ( x α , y β ) + β < 1 γ < 1 p ( y β , z γ ) .
Since when x α , z γ , y β M 0 , p ( x α , z γ ) p ( x α , y β ) + p ( y β , z γ ) , we have
z γ : γ < 1 p ( x α , z γ ) p ( x α , y β ) + γ < 1 p ( y β , z γ ) ;
y β : γ < 1 p ( x α , z γ ) p ( x α , y β ) + β < 1 γ < 1 p ( y β , z γ ) ;
y β : γ < 1 p ( x α , z γ ) β < 1 p ( x α , y β ) + β < 1 γ < 1 p ( y β , z γ ) ;
x α : α < 1 γ < 1 p ( x α , z γ ) α < 1 β < 1 p ( x α , y β ) + β < 1 γ < 1 p ( y β , z γ ) .
Therefore, p * still satisfies (E2).
Case 2. Let x 1 , z λ M 0 and let b M .
(1) if b = y β M 0 , then
p * ( x 1 , z λ ) p * ( x 1 , y β ) + p * ( y β , z λ ) α < 1 p ( x α , z λ ) α < 1 p ( x α , y β ) + p ( y β , z λ ) .
In fact, since for x α , z λ , y β M 0 , p ( x α , z λ ) p ( x α , y β ) + p ( y β , z λ ) , we have α < 1 p ( x α , z λ ) α < 1 p ( x α , y β ) + p ( y β , z λ ) . And so p * satisfies (E2).
(2) Let b = y 1 . If y 1 = x 1 , then
p * ( x 1 , z λ ) p * ( x 1 , y 1 ) + p * ( y 1 , z λ ) p * ( x 1 , z λ ) p * ( x 1 , x 1 ) + p * ( x 1 , z λ ) = p * ( x 1 , z λ ) .
If y 1 x 1 , then
p * ( x 1 , z λ ) p * ( x 1 , y 1 ) + p * ( y 1 , z λ ) α < 1 p ( x α , z λ ) α < 1 β < 1 p ( x α , y β ) + β < 1 p ( y β , z λ ) .
Due to any x α , z λ , y β M 0 , p ( x α , z λ ) p ( x α , y β ) + β < 1 p ( y β , z λ ) , we have the following formulas:
y β : p ( x α , z λ ) β < 1 p ( x α , y β ) + β < 1 p ( y β , z λ ) ;
x α : α < 1 ( x α , z λ ) α < 1 β < 1 p ( x α , y β ) + β < 1 p ( y β , z λ ) .
Therefore, p * fulfills (E2).
Case 3. Let x λ M 0 and let z 1 , b M .
(1) Assume that b M 0 . Then,
p * ( x λ , z 1 ) p * ( x λ , b ) + p * ( b , z 1 ) α < 1 p ( x λ , z α ) p ( x λ , b ) + α < 1 p ( b , z α ) .
For any z α M 0 , we can obtain
p ( x λ , z α ) p ( x λ , b ) + p ( b , z α ) .
Furthermore, we have
z α : α < 1 p ( x λ , z α ) p ( x λ , b ) + α < 1 p ( b , z α ) .
Therefore, p * satisfies (E2).
(2) Assume that b = y 1 . Then, we have the following two cases:
If y 1 = z 1 , then
p * ( x λ , z 1 ) p * ( x λ , y 1 ) + p * ( y 1 , z 1 )
p * ( x λ , z 1 ) p * ( x λ , z 1 ) + p * ( z 1 , z 1 ) = p * ( x λ , z 1 ) .
If y 1 z 1 , then
p * ( x λ , z 1 ) p * ( x λ , y 1 ) + p * ( y 1 , z 1 )
α < 1 p ( x λ , z α ) β < 1 p ( x λ , y β ) + γ < 1 δ < 1 p ( y γ , z δ ) .
For x λ , z α , y β M 0 , we have
p ( x λ , z α ) p ( x λ , y β ) + p ( y β , z α ) .
z α : p ( x λ , z α ) p ( x λ , y β ) + δ < 1 p ( y β , z δ ) .
y β : p ( x λ , z α ) p ( x λ , y β ) + γ < 1 δ < 1 p ( y γ , z δ ) ,
y β : p ( x λ , z α ) β < 1 p ( x λ , y β ) + γ < 1 δ < 1 p ( y γ , z δ ) ,
z α : α < 1 p ( x λ , z α ) β < 1 p ( x λ , y β ) + γ < 1 δ < 1 p ( y γ , z δ ) .
Therefore, in this case, p * still satisfies (E2).
Case 4. Let x α , z γ M 0 and let b M .
(1) If b = y β M 0 , then
p * ( x α , z γ ) p * ( x α , y β ) + p * ( y β , z γ ) p ( x α , z γ ) p ( x α , y β ) + p ( y β , z γ ) .
(2) If b = y 1 , then
p * ( x α , z γ ) p * ( x α , y 1 ) + p * ( y 1 , z γ ) p ( x α , z γ ) β < 1 p ( x α , y β ) + β < 1 p ( y β , z γ ) .
For x α , z γ , y β M 0 , we have
p ( x α , z γ ) p ( x α , y β ) + p ( y β , z γ ) .
Taking union and intersection for y β , respectively, we can obtain
p ( x α , z γ ) β < 1 p ( x α , y β ) + β < 1 p ( y β , z γ ) .
Hence, p * fulfills (E2).
In summary, p * satisfies (E2).
(E3). Case 1. Let x λ 1 , y λ 2 M 0 . Since p * satisfies (E1) and (E2), we have p * ( x λ 1 , y 1 ) p * ( x λ 1 , y λ ) . Thus,
p * ( x λ 1 , y λ 2 ) = 1 > s > λ 2 p * ( x λ 1 , y s ) p * ( x λ 1 , y 1 ) p ( x λ 1 , y λ 2 ) = s > λ 2 p ( x λ 1 , y s ) .
Therefore, we have
p ( x λ 1 , y λ 2 ) = s > λ 2 p ( x λ 1 , y s ) .
Therefore, p * satisfies (E3).
Case 2. Let x λ 1 M 0 and let y λ 2 = y 1 .
Since p * satisfies (E1) and (E2), we can obtain
p * ( x λ 1 , y 1 ) = s > 1 p * ( x λ 1 , y s ) .
Case 3. Let x λ 1 = x 1 and let y λ 2 M 0 . Then, we have
p * ( x 1 , y λ 2 ) = β > λ 2 p * ( x 1 , y β ) α < 1 p ( x α , y λ 2 ) = β > λ 2 α < 1 p ( x α , y β ) .
Since p * satisfies (E1) and (E2), it is true that p * ( x 1 , y λ 2 ) β > λ 2 p * ( x 1 , y β ) .
Conversely,
e β > λ 2 p * ( x 1 , y β ) = β > λ 2 α < 1 p ( x α , y β )
β > λ 2 , e α < 1 p ( x α , y β ) β > λ 2 , α < 1 , e p ( x α , y β )
α < 1 , e β > λ 2 p ( x α , y β ) = p ( x α , y λ 2 )
e α < 1 p ( x α , y λ 2 ) = p * ( x 1 , y λ 2 )
p * ( x 1 , y λ 2 ) β > λ 2 p * ( x 1 , y β ) .
Case 4. Let x λ 1 = x 1 and let y λ 2 = y 1 . This situation is meaningless and negligible.
In summary, p * satisfies (E3).
(E4). Let x λ 1 , y λ 2 M .
Case 1. Let x λ 1 = x 1 and let y λ 2 = y λ M 0 .
Since ( E 4 ) s > 1 λ 2 p * ( x λ 1 , y s ) = h > 1 λ 1 p * ( y λ 2 , x h ) , we need to testify
s > 1 λ p * ( x 1 , y s ) = h > 0 p * ( y λ , x h ) .
(1) Let x 1 = y 1 . Owing to s > 1 λ p * ( x 1 , y s ) = 1 > s > 1 λ p * ( y 1 , y s ) p * ( y 1 , y 1 ) = 0 and
h > 0 p * ( y λ , x h ) = 1 > h > 0 p * ( x λ , x h ) p * ( x λ , x 1 )
= h > 0 p ( x λ , x h ) p * ( x λ , x 1 ) = 0 ( B e c a u s e h > 0 h = λ p ( x λ , x λ ) = 0 ) ,
we can obtain s > 1 λ p * ( x 1 , y s ) = h > 0 p * ( y λ , x h ) .
(2) Let x 1 y 1 . By (E1) and (E2), we have p * ( x 1 , y s ) p * ( x 1 , y 1 ) a n d p * ( y λ , x h ) p * ( y λ , x 1 ) . Thus,
s > 1 λ p * ( x 1 , y s ) = h > 0 p * ( y λ , x h ) 1 > s > 1 λ p * ( x 1 , y s ) p * ( x 1 , y 1 ) =
s > 1 λ α < 1 p ( x α , y s ) = 1 > h > 0 p * ( y λ , x h ) p * ( y λ , x 1 ) = 1 > h > 0 p ( y λ , x h ) .
Therefore, we need to prove
s > 1 λ α < 1 p ( x α , y s ) = 1 > h > 0 p ( y λ , x h ) .
In fact, by (A4) we have
s > 1 λ α < 1 p ( x α , y s ) = s > 1 λ α < 1 p ( y 1 s , x 1 α ) = β < λ γ > 0 p ( y β , x γ ) .
Thus, we need to prove
1 > h > 0 p ( y λ , x h ) = β < λ γ > 0 p ( y β , x γ ) .
This proof is as follows: for each e β < λ γ > 0 p ( y β , x γ ) , we can obtain
e β < λ γ > 0 p ( y β , x γ ) β < λ a n d γ > 0 , e p ( y β , x γ ) γ > 0 h a v e e β < λ p ( y β , x γ )
γ > 0 , e β < λ p ( y β , x γ ) = p ( y λ , x γ ) e γ > 0 p ( y λ , x γ ) = h > 0 p ( y λ , x h ) .
Conversely, it is true for inequality similarly.
Case 2. Let x λ 1 = x λ M 0 and let y λ 2 = y 1 . By above Case 1 and (A4), we exchange x 1 and y λ to fulfill. This proof is omitted.
Case 3. Let x λ 1 = x 1 and let y λ 2 = y 1 .
Since
s > 1 λ 2 p * ( x λ 1 , y s ) = h > 1 λ 1 p * ( y λ 2 , x h ) s > 0 p * ( x 1 , y s ) = h > 0 p * ( y 1 , x h )
s > 0 ( t < 1 p ( x t , y s ) ) = h > 0 ( r < 1 p ( y r , x h ) ) = h > 0 ( r < 1 p ( x 1 h , y 1 r ) )
= h > 0 ( v > 0 p ( x 1 h , y v ) ) = u < 1 ( v > 0 p ( x u , y v ) ) ,
it is necessary to prove
s > 0 ( t < 1 p ( x t , y s ) ) = u < 1 ( v > 0 p ( x u , y v ) ) .
This proof is based on the following equation:
w = s > 0 ( t < 1 p ( x t , y s ) ) s > 0 , t < 1 , p ( x t , y s ) w u < 1 ( v > 0 p ( x u , y v ) ) w .
Similarly, the inequality holds conversely.
In summary, p * satisfies (E4).
Therefore, p * is an extended Deng’s pseudo-metric on I X . Let p = p * | M 0 × M 0 . Then, it is obvious that p is a Deng’s pseudo-metric. □
Now, we analyze the relationship between the two topologies induced by p * and p, respectively. For this purpose, we will need the following two lemmas:
Lemma 1.
Let p : M × M [ 0 , + ) be a mapping and define W r ( a ) = { b M | p ( a , b ) < r , r [ 0 , + ) } . Then, p satisfies ( A 4 ) if and only if f o r   e a c h   b M , b < a W r ( b ) = W r ( a ) .
Proof. 
Because W r ( b ) a , there exists x a such that p ( b , x ) < r , (E4) is equivalent to W r ( a ) b W r ( b ) a for any a , b M . Therefore,
W r ( a ) b W r ( b ) a = x < a x
x < a , W r ( b ) x x < a , W r ( x ) b x < a W r ( x ) b .
Therefore, the proof is completed. □
Lemma 2.
Let p be an extended Deng’s pseudo-metric on I X . Then, the family { W r ( a ) | a M , r [ 0 , + ) } is a base for a topology.
Proof. 
We need to prove that the family τ p of arbitrary unions of members of { W r ( a ) | a M , r [ 0 , + ) } is a [ 0 , 1 ] -topology, whose base is exactly the family { W r ( a ) | a M , r [ 0 , + ) } . Hence, we only need to prove that the intersection of any two elements of τ p belongs to τ p .
Let A = W s ( a ) W t ( b ) . If s = 0 or t = 0 , then A =   0 ̲ . Thus, we may as well suppose s 0 and t 0 and let A   0 ̲ . For any standard fuzzy point c < A (here and in the proof, each "< " is strictly smaller), we have c < W s ( a ) and c < W t ( b ) , and then we have p ( a , c ) < s and p ( b , c ) < t . Let r c = ( s p ( a , c ) ) ( t p ( b , c ) ) . Now, we come to prove A = c < A W r c ( c ) .
It is obvious that A c < A W r c ( c ) . Conversely, let a standard fuzzy point e < c < A W r c ( c ) , then there exists c < A such that e < W r c ( c ) , and then p ( c , e ) < r c . Therefore, there are p ( c , e ) < s p ( a , c ) and p ( c , e ) < t p ( b , c ) , which imply that p ( a , e ) < s and p ( b , e ) < t hold. Hence, we can obtain e W s ( a ) and e W t ( b ) , and then e A . Therefore, A c < A W r c ( c ) . The proof is completed. □
Theorem 10.
Both p * and p induce the same topology.
Proof. 
By Theorem 1 and Lemma 2, { U r ( a ) | a M 0 , r [ 0 , + ) } and { W r ( b ) | b M , r [ 0 , + ) } are a base for ζ p and τ p * , respectively.
(i) let b = x α M 0 .
Because W r ( x α ) = { y β M p * ( x α , y β ) < r } , we have
W r ( x α ) = { y β M 0 | p ( x α , y β ) < r } = U r ( x α )
for each y β M y β M 0 . Thus, in this case, W r ( x α ) = U r ( x α ) .
In the other case, besides y β M 0 , there exists index Γ with i Γ such that y β i = y 1 and p * ( x α , y 1 ) < r .
By (b) in definition of p * (see Theorem 9), we can obtain β < 1 p ( x α , y β ) = p * ( x α , y 1 ) < r .
Therefore, for each i Γ , we have p ( x α , y β ) < r if p * ( x α , y 1 ) < r , where β < 1 . It follows that y β U r ( x α ) , and then y β = y 1 U r ( x α ) , which implies W r ( x α ) U r ( x α ) .
Conversely, it is evident that U r ( x α ) W r ( x α ) .
(ii) let b = x 1 .
Since p * is an extended Deng’s pseudo-metric, by Lemma 1 and (i) we can obtain
W r ( x 1 ) = α < 1 W r ( x α ) = α < 1 U r ( x α ) .
Therefore, for any W r ( x 1 ) , it is the union of some members of { U r ( b ) | b M 0 , r [ 0 , + ) } . □
Corollary 1.
If p is a Deng’s pseudo-metric, then ζ p = τ p * .
Proof. 
From Theorems 9 and 10, it is evident. □
Just because of Theorems 9 and 10, it is very natural for us to use M 0 to research Deng’s pseudo-metric and its deduced topology. Therefore, it is no surprise that many scholars have achieved many excellent works by utilizing M 0 to investigate Deng’s metric (for more details, see [12,13] etc.).
It is equivalent for us to use M 0 and M to characterize Deng’s metric topology. Therefore, if we do not offer a special explanation, the subsequent discussions are based on M 0 .

4. Quotient Space and the Further Extension of Deng’s Metric

In this section, in order to discuss the properties of quotient space related to Deng’s metrics, first of all, we define T = { p | p as   an   extended   Deng s   pseudo-metric   on I X } and D = { p d | p d is   a   Deng s   pseudo-metric   on I X } . Then, we can acquire the following result:
Theorem 11.
Define a mapping f : T D , where f is defined by p T , let f ( p ) = p d = p | M 0 × M 0 . Then,
(i)
p d is a Deng’s pseudo-metric.
(ii)
The mapping f is subjective.
Proof. 
(i). By the definition of extended Deng’s pseudo-metric, it is evident that (i) holds. (ii). By Theorem 9, we easily obtain that (ii) holds. □
According to Theorem 11, we can obtain a very interesting quotient space of the family of all extended Deng’s pseudo-metrics. The details are as follows:
Take any p d D and let B p d = f 1 ( p d ) . Then, B p d is the equivalence class of D = { p d | p d is   a   Deng s   pseudo-metric   on I X } . Define Ω = { B p d p d D } . It is evident that Ω is a quotient space of T. The metric topology of each extended Deng’s pseudo-metric in the equivalence class f 1 ( p d ) is the same topology induced by the expansion function p d * of p d . It follows that there is a one-to-one mapping from D to Ω .
In addition, by Theorem 9, we can define an extended Deng’s pseudo-metric on L X , by using M ( L X ) as follows:
Definition 13.
A mapping p : M ( L X ) × M ( L X ) [ 0 , + ) is called a Deng’s pseudo-metric on L X if it satisfies the following conditions:
(M1)
a , b M ( L X ) , if a b , then p ( a , b ) = 0 ;
(M2)
a , b , c M ( L X ) , p ( a , c ) p ( a , b ) + p ( b , c ) ;
(M3)
a , b M ( L X ) , p ( a , b ) = a c p ( c , b ) ;
(M4)
a , b M ( L X ) , x a such that p ( b , x ) < r y b such that p ( a , y ) < r .
This is a type new metric on completely distributive lattice L X , which is parallel to Erceg’s metric [14] and Yang-Shi’s metric [29]. So far, there almost is not any research about it on L X . Maybe, this extended Deng’s metric should be investigated.

5. The Relationship between Deng’s Metric and Yang-Shi’s Metric

In this section, we will show a commutative property of Deng’s metric and investigate the relationship between Deng’s metric and Yang-Shi’s metric on I X .
Theorem 12.
If a mapping p : M 0 × M 0 [ 0 , + ) satisfies (A1)–(A3) and the following property: (C4) * x λ 1 , y λ 2 M 0 , p ( x λ 1 , y λ 2 ) = p ( y λ 2 , x λ 1 ) , then p is a Deng’s pseudo-metric.
Proof. 
Case 1. Let x λ 1 , y λ 2 M 0 and let y = x . (i) if λ 1 λ 2 , then by (A1) p ( x λ 1 , x λ 2 ) = 0 . In addition, since 1 λ 1 < 1 λ 2 , it is true that p ( x 1 λ 2 , x 1 λ 1 ) = 0 . Therefore, we can obtain p ( x λ 1 , x λ 2 ) = p ( x 1 λ 2 , x 1 λ 1 ) . (ii) when λ 1 < λ 2 , by (C4) * , this conclusion is also valid.
Case 2. Let x λ 1 , y λ 2 M 0 and x y . In this case, we will discuss it in two different situations.
Situation 1. Let λ 1 1 λ 1 . Under this condition, we still divide the discussion into two sub-situations (a) and (b) as follows:
(a) Assume that λ 2 1 λ 2 . Then,
p ( y λ 2 , x λ 1 ) = p ( x λ 1 , y λ 2 ) p ( x λ 1 , y 1 λ 2 ) + p ( y 1 λ 2 , y λ 2 )
= p ( x λ 1 , y 1 λ 2 ) = p ( y 1 λ 2 , x λ 1 ) .
Moreover, we can obtain the following equation:
p ( y 1 λ 2 , x λ 1 ) p ( y 1 λ 2 , y λ 2 ) + p ( y λ 2 , x λ 1 ) = p ( y λ 2 , x λ 1 ) .
Thus,
p ( y λ 2 , x λ 1 ) = p ( y 1 λ 2 , x λ 1 ) .
Similarly, we can obtain
p ( y 1 λ 2 , x λ 1 ) p ( y 1 λ 2 , x 1 λ 1 ) + p ( x 1 λ 1 , x λ 1 ) p ( y 1 λ 2 , x 1 λ 1 ) .
In addition, we have
p ( y 1 λ 2 , x 1 λ 1 ) p ( y 1 λ 2 , x λ 1 ) + p ( x λ 1 , x 1 λ 1 ) = p ( y 1 λ 2 , x λ 1 ) .
Thereby, we can assert
p ( y 1 λ 2 , x λ 1 ) = p ( y 1 λ 2 , x 1 λ 1 ) .
Furthermore, by (1) and (2), we know p ( y λ 2 , x λ 1 ) = p ( y 1 λ 2 , x 1 λ 1 ) , that is to say, we have the following equation:
p ( x λ 1 , y λ 2 ) = p ( y 1 λ 2 , x 1 λ 1 ) .
(b). Assume that λ 2 > 1 λ 2 . If β = 1 λ 2 , then λ 2 = 1 β , and consequently, 1 β = λ 2 > 1 λ 2 = β . Due to the fact that β satisfies (a), by (3) we have p ( x λ 1 , y β ) = p ( y 1 β , x 1 λ 1 ) . Hence, let p ( x λ 1 , y 1 λ 2 ) replace p ( y 1 λ 2 , x λ 1 ) . Then, in this way we can obtain
p ( y 1 λ 2 , x λ 1 ) = p ( y λ 2 , x 1 λ 1 ) .
Moreover, by (4) we have the following formula:
p ( y 1 λ 2 , x 1 λ 1 ) = p ( x 1 λ 1 , y 1 λ 2 ) p ( x 1 λ 1 , y λ 2 ) + p ( y λ 2 , y 1 λ 2 )
= p ( x 1 λ 1 , y λ 2 ) = p ( y λ 2 , x 1 λ 1 ) = p ( y 1 λ 2 , x λ 1 ) .
Again by p ( y 1 λ 2 , x λ 1 ) p ( y 1 λ 2 , x 1 λ 1 ) + p ( x 1 λ 1 , x λ 1 ) = p ( y 1 λ 2 , x 1 λ 1 ) , we can obtain
p ( y 1 λ 2 , x λ 1 ) = p ( y 1 λ 2 , x 1 λ 1 ) ,
According to (5), we need to prove
p ( y λ 2 , x λ 1 ) = p ( x 1 λ 1 , y 1 λ 2 ) = p ( y 1 λ 2 , x 1 λ 1 )
p ( y λ 2 , x λ 1 ) = p ( y 1 λ 2 , x λ 1 ) p ( y 1 β , x λ 1 ) = p ( y β , x λ 1 ) .
This is exactly the case of (a). Thereby, it is true for p ( y λ 2 , x λ 1 ) = p ( y 1 λ 2 , x 1 λ 1 ) , that is, it holds for
p ( x λ 1 , y λ 2 ) = p ( y 1 λ 2 , x 1 λ 1 ) .
Situation 2. Let λ 1 > 1 λ 1 . If α = 1 λ 1 , then λ 1 = 1 α . Thus, 1 α > α . By case 1, we can assert either λ 2 1 λ 2 or λ 2 > 1 λ 2 . Therefore, when 1 α > α , we must have the following equation:
p ( x α , y λ 2 ) = p ( y 1 λ 2 , x 1 α ) .
Namely
p ( x 1 λ 1 , y λ 2 ) = p ( y 1 λ 2 , x λ 1 ) .
Similarly, by repeating the process from (4) to (6), we can obtain p ( x λ 1 , y λ 2 ) = p ( y 1 λ 2 , x 1 λ 1 ) . In summary, this conclusion is true. Therefore, this proof is completed. □
Theorem 13.
If p is a Deng’s pseudo-metric on I X , then p is a Yang-Shi’s pseudo-metric.
Proof. 
For any two fuzzy points x a and y b , we only need to prove p ( x a , y b ) = c < a p ( x c , y b ) . If c < a , then p ( x a , y b ) p ( x c , y b ) , and then p ( x a , y b ) c < a p ( x c , y b ) . If p ( x a , y b ) = r < c < a p ( x c , y b ) = t , then by (A4) we have p ( y 1 b , x 1 a ) = r < t , so that by (A3) there exists a number s > 1 a such that p ( y 1 b , x s ) < t , i.e., p ( x 1 s , y b ) < t . But this contradicts c < a p ( x c , y b ) = t . Consequently, p ( x a , y b ) = c < a p ( x c , y b ) , as desired. □
Conversely, we have the following conclusion:
Theorem 14.
If p is a Yang-Shi’s pseudo-metric and further satisfies the following condition: ( K 3 ) * p ( x λ 2 , y λ 1 ) = s > λ 2 p ( x s , y λ 1 ) , then p is a Deng’s pseudo-metric.
To prove Theorem 14, we first need to prove the following two Lemmas.
Lemma 3.
Let p be a Yang-Shi pseudo-metric on I X and for each r [ 0 , 1 ) define U r ( a ) = { b I X p ( a , b ) < r } . Then, U r ( y λ ) = α > 1 λ P r ( y α ) .
Proof. 
Let x β α > 1 λ P r ( y α ) and take γ such that x β < x γ α > 1 λ P r ( y α ) . Because 1 γ α > 1 λ P r ( y α ) ( x ) , there exists a number α > 1 λ such that 1 γ P r ( y α ) ( x ) , and then for each δ > 1 γ we have δ > P r ( y α ) ( x ) . Therefore, by Theorem 6 we can obtain p ( x δ , y α ) < r . Again, by (A3) of (I) in Introduction ((A3) on the special case I X of L X is: for any x λ 1 , y λ 2 , t > 1 λ 1 s.t. p ( y λ 2 , x t ) < r s > 1 λ 2 s.t. p ( x λ 1 , y s ) < r ), there exists x ω ( x δ ) ( x ω which has something to do with x δ ) with ω > 1 δ such that p ( y λ , x ω ) < r . Let x q = { x ω ( x δ ) δ > 1 γ } . Then, x δ x 1 q , i.e., x δ > x 1 q . This implies that as long as x δ > x 1 γ , it must hold that x δ > x 1 q . Thus, x γ x q . Since x β < x γ x q , there exists x ω ( x δ ) such that x β x ω , and so p ( y λ , x β ) p ( y λ , x ω ) < r . Hence, x β U r ( y λ ) . Because x β is arbitrary, we have α > 1 λ P r ( y α ) U r ( y λ ) .
Conversely, let x α U r ( y λ ) . Then, p ( y λ , x α ) < r . For each x β > x 1 α , i.e., α > 1 β , by (A3) there exists γ > 1 λ such that p ( x β , y γ ) < r , and then by Theorem 6, x β P r ( y γ ) . Hence, x β γ > 1 λ P r ( y γ ) . That is to say, as long as x β > x 1 α , i.e., x β x 1 α , it is true that x β γ > 1 λ P r ( y γ ) . Consequently, γ > 1 λ P r ( y γ ) ( x ) x 1 α , i.e., x α γ > 1 λ P r ( y γ ) . Because x α is arbitrary, we have U r ( y λ ) γ > 1 λ P r ( y γ ) , as desired. □
Lemma 4.
If p is a Yang-Shi’s pseudo-metric on I X , then α > 1 λ 1 p ( x α , y λ 2 ) = β > 1 λ 2 p ( y λ β , x λ 1 ) .
Proof. 
Denote α > 1 λ 1 p ( x α , y λ 2 ) = β > 1 λ 2 p ( y λ β , x λ 1 ) as ( H 1 ) . Then, it is easy to verify that ( H 1 ) is equivalent to the following property:
( H 1 ) * α > 1 λ 1 s.t. p ( x α , y λ 2 ) > r β > 1 λ 2 s.t. p ( y λ β , x λ 1 ) > r .
Now, let us prove ( H 1 ) * .
Assume that there is α with α > 1 λ 1 such that p ( x α , y λ 2 ) > r . Take a number s such that p ( x α , y λ 2 ) > s > r . By Theorems 7 and 8, we assert that λ 2 > B s ( x α ) ( y ) . Therefore, by Lemma 3, we can obtain the following formula:
λ 2 > B s ( x α ) ( y ) U s ( x α ) ( y ) = γ > 1 α P s ( x γ ) ( y ) .
Thus, for every γ > 1 α it is true that λ 2 > P s ( x γ ) ( y ) . That is to say, as long as α > 1 λ 1 , i.e., x λ 1 x 1 α such that p ( x α , y λ 2 ) > r , it is true that λ 2 > P s ( x λ 1 ) ( y ) , i.e., 1 λ 2 < P s ( x λ 1 ) ( y ) . Therefore, there exists y ω such that y 1 λ 2 < y ω P s ( x λ 1 ) , and then p ( y ω , x λ 1 ) s > r by Theorem 7. Similarly, so is the reverse, as desired. □
Proof. 
The proof of Theorem 14 is as follows:
Let p be a Yang-Shi’s pseudo-metric on I X and it satisfies p ( x λ 2 , y λ 1 ) = s > λ 2 p ( x s , y λ 1 ) . Then, we only need to prove that p satisfies (A3) and (A4).
(A4). Given any x λ 1 , y λ 2 M 0 . According to Lemma 4, we have
α > 1 λ 1 p ( x α , y λ 2 ) = β > 1 λ 2 p ( y λ β , x λ 1 ) ,
and then p ( x 1 λ 1 , y λ 2 ) = p ( y 1 λ 2 , x λ 1 ) .
(A3). By (A1) and (A2), if λ 3 > λ 1 , then p ( y λ 2 , x λ 1 ) p ( y λ 2 , x λ 3 ) . Thus, p ( y λ 2 , x λ 1 ) λ 3 > λ 1 p ( y λ 2 , x λ 3 ) .
Conversely, take any r with r ( 0 , + ) such that p ( y λ 2 , x λ 1 ) < r . Then, by (A4) we have
p ( y λ 2 , x λ 1 ) = p ( x 1 λ 1 , y 1 λ 2 ) = h < 1 λ 1 p ( x h , y 1 λ 2 ) < r .
Therefore, there at least exists h with h < 1 λ 1 such that p ( x h , y 1 λ 2 ) < r , i.e., p ( y λ 2 , x 1 h ) < r . Let 1 h = λ 3 . Then, h < 1 λ 1 λ 1 < 1 h = λ 3 and p ( y λ 2 , x λ 3 ) < r . Consequently, p ( y λ 2 , x λ 1 ) λ 3 > λ 1 p ( y λ 2 , x λ 3 ) , as desired. □
Example: Suppose that p 0 is distance function in usual sense on X. For any b μ , a λ M , let p ( b μ , a λ ) = p 0 ( b , a ) + m a x { λ μ , 0 } . Then ( I X , p ) is a Deng’s pseudo-metric.
Let us use Theorem 14 to verify this example. In fact, because a λ b μ implies a = b and λ > 1 μ , and a λ b μ is equivalent to a = b and λ < μ , we need to verify that p satisfies the following conditions: (A1)–(A2), (B2), (A4) and (K3) * by m a x { λ μ , 0 } = 1 2 ( λ μ + | λ μ | ) .
(A1). For any a λ , b μ M and a λ b μ , we can obtain a = b and λ μ . Therefore, p ( b μ , a λ ) = 0 .
(A2). For any a λ , b μ , c ν M , we have
p ( b μ , a λ ) + p ( c ν , b μ )
= p 0 ( b , a ) + 1 2 ( λ μ + | λ μ | ) + p 0 ( c , b ) + 1 2 ( μ ν + | μ ν | )
= p 0 ( b , a ) + p 0 ( c , b ) + 1 2 ( λ ν ) + 1 2 ( | λ μ | + | μ ν | )
p 0 ( c , a ) + 1 2 ( λ ν + | λ μ | ) = p ( c ν , a λ ) .
(B2). For any a λ , b μ M , we have
c τ b μ p ( c τ , a λ ) = c = b , τ < μ [ p 0 ( c , a ) + 1 2 ( λ τ + | λ τ | ) ]
= p 0 ( b , a ) + τ < μ 1 2 ( ν μ + | ν μ | )
= p 0 ( b , a ) + 1 2 ( λ μ + | λ μ | ) = p ( b μ , a λ ) .
(A4). To prove (B3), it only suffices to verify x ν a λ p ( b μ , x ν ) = y τ b μ p ( a λ , y τ ) . In fact, its proof is as follows:
x ν a λ p ( b μ , x ν ) = x = a , ν > 1 λ [ p 0 ( b , x ) + 1 2 ( ν μ + | ν μ | ) ]
= p 0 ( b , a ) + ν > 1 λ 1 2 ( ν μ + | ν μ | )
= p 0 ( b , a ) + 1 2 ( 1 λ μ + | 1 λ μ | ) ] + τ > 1 μ 1 2 ( τ λ + | τ λ | )
= y τ b μ p ( a λ , y τ ) .
(K3) * . For any a 1 λ , b μ M , we can verify the following equations:
x ν a λ p ( x ν , b μ ) = x = a , ν > 1 λ [ p 0 ( x , b ) + 1 2 ( μ ν + | μ ν | ) ]
= p 0 ( a , b ) + ν > 1 λ 1 2 ( μ ν + | μ ν | )
= p 0 ( a , b ) + 1 2 ( λ + μ 1 + | λ + μ 1 | ) ] = p ( a 1 λ , b μ ) .
Corollary 2.
A Deng’s pseudo-metric on I X is Q C 1 .
Proof. 
By Theorem 2 and Theorem 13, it is evident for the result to hold. □
According to Theorem 8, we have known that an Erceg’s metric must be a Yang-Shi’s metric. Again by Theorem 13, we can obtain that a Deng’s metric must be an Erceg’s metric. In addition, existing achievements (refer to [14,24,25]) have shown that Erceg’s metric’s uniform structure must be Hutton’s uniform structure [22]. Therefore, we can assert that Deng’s metric topology and its uniform structure are Erceg’s metric topology and Hutton’s uniform structure, respectively.

6. Conclusions

In this paper, firstly, we extend the domain of Deng’s metric function from M 0 × M 0 to M × M . Secondly, we further extend this metric to L X and, based on this extension result, we compare this metric with the other two kinds of familiar fuzzy metrics: Erceg’s metric and Yang-Shi’s metric, and then reveal some of its interesting properties, particularly including its quotient space. Thirdly, we prove that a Deng’s metric must be a Yang-Shi’s metric on I X , and consequently an Erceg’s metric. Finally, we will show that a Deng’s metric must be Q C 1 , and Deng’s metric topology and its uniform structure are Erceg’s metric topology and Hutton’s uniform structure, respectively.
In the future, we will continue to consider Deng’s metric on L-topology. Additionally, we will further investigate Erceg’s metric, Yang-Shi’s metric and Deng’s metric on L X . Moreover, we will continue to conduct research on the kind of lattice-valued topological spaces, each of whose topologies has a σ -locally finite base. Beyond that, we also intend to inquire into the metrization problem in [0, 1]-topology.

Author Contributions

Conceptualization, P.C.; formal analysis, P.C., B.M. and X.B.; funding acquisition, P.C.; investigation, B.M.; methodology, P.C.; project administration, B.M.; supervision, B.M.; validation, X.B.; visualization, X.B. and B.M.; writing—original draft, B.M. and P.C.; writing—review and editing, B.M., P.C. and X.B. All authors have read and agreed to the published version of the manuscript.

Funding

The project is funded by Development of Integrated Communication and Navigation Chips and Modules (2021000056).

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank the editors and the anonymous reviewers for their fruitful comments and suggestions which lead to a number of improvements of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chang, C.L. Fuzzy topological spaces. J. Math. Anal. Appl. 1968, 24, 182–190. [Google Scholar] [CrossRef] [Green Version]
  2. Zadeh, L.A. Fuzzy sets. Inform. Control 1965, 8, 338–353. [Google Scholar] [CrossRef] [Green Version]
  3. Kelley, J.L. General Topology; Springer: New York, NY, USA, 1975. [Google Scholar]
  4. Goguen, J.A. The fuzzy Tychonoff Theorem. J. Math. Anal. Appl. 1973, 18, 734–742. [Google Scholar] [CrossRef] [Green Version]
  5. Chen, P.; Duan, P. Research of Deng metric and its related problems. Fuzzy Syst. Math. 2015, 29, 28–35. (In Chinese) [Google Scholar]
  6. Chen, P.; Duan, P. Research on a kind of pointwise parametric in L lattices. Fuzzy Syst. Math. 2016, 30, 23–30. (In Chinese) [Google Scholar]
  7. Chen, P. Metrics in L-Fuzzy Topology; China Science Publishing & Media Ltd. (CSPM) (Postdoctoral Library): Beijing, China, 2017. (In Chinese) [Google Scholar]
  8. Chen, P.; Qiu, X. Expansion theorem of Deng metric. Fuzzy Syst. Math. 2019, 33, 54–65. (In Chinese) [Google Scholar]
  9. Chen, P. The relation between two kinds of metrics on lattices. Ann. Fuzzy Sets Fuzzy Log. Fuzzy Syst. 2011, 1, 175–181. [Google Scholar]
  10. Chen, P.; Shi, F.G. Further simplification of Erceg metric and its properties. Adv. Math. 2007, 36, 586–592. (In Chinese) [Google Scholar]
  11. Chen, P.; Shi, F.G. A note on Erceg pseudo-metric and pointwise pseudo-metric. J. Math. Res. Exp. 2008, 28, 339–443. [Google Scholar]
  12. Deng, Z.K. Fuzzy pseudo-metric spaces. J. Math. Anal. Appl. 1982, 86, 74–95. [Google Scholar] [CrossRef] [Green Version]
  13. Deng, Z.K. M-uniformization and metrization of fuzzy topological spaces. J. Math. Anal. Appl. 1985, 112, 471–486. [Google Scholar] [CrossRef]
  14. Erceg, M.A. Metric spaces in fuzzy set theory. J. Math. Anal. Appl. 1979, 69, 205–230. [Google Scholar] [CrossRef] [Green Version]
  15. George, A.; Veeramani, P. On some results in fuzzy metric spaces. Fuzzy Sets Syst. 1994, 64, 395–399. [Google Scholar] [CrossRef] [Green Version]
  16. Gregori, V.; Morillas, S.; Sapena, A. On a class of compatible fuzzy metric spaces. Fuzzy Sets Syst. 2010, 161, 2193–2205. [Google Scholar] [CrossRef]
  17. Gregori, V.; Morillas, S.; Sapena, A. Examples of fuzzy metrics and applications. Fuzzy Sets Syst. 2011, 170, 95–111. [Google Scholar] [CrossRef] [Green Version]
  18. Gregori, V.; López-Crevillén, A.; Morillas, S.; Sapena, A. On convergence in fuzzy metric spaces. Topol. Its Appl. 2009, 156, 3002–3006. [Google Scholar] [CrossRef] [Green Version]
  19. Gregori, V.; Romaguera, S. Characterizing completable fuzzy metric spaces. Fuzzy Sets Syst. 2004, 144, 411–420. [Google Scholar] [CrossRef]
  20. Gregori, V.; Romaguera, S. Some properties of fuzzy metric spaces. Fuzzy Sets Syst. 2000, 115, 485–489. [Google Scholar] [CrossRef]
  21. Gregori, V.; Sapena, A. On fixed point theorems in fuzzy metric spaces. Fuzzy Sets Syst. 2002, 125, 245–252. [Google Scholar] [CrossRef]
  22. Hutton, B. Uniformities on fuzzy topological spaces. J. Math. Anal. Appl. 1977, 58, 559–571. [Google Scholar] [CrossRef] [Green Version]
  23. Kim, D.S.; Kim, Y.K. Some properties of a new metric on the space of fuzzy numbers. Fuzzy Sets Syst. 2004, 145, 395–410. [Google Scholar] [CrossRef]
  24. Liang, J.H. A few problems in fuzzy metric spaces. Ann. Math. 1984, 6A, 59–67. (In Chinese) [Google Scholar]
  25. Liang, J.H. Pointwise characterizations of fuzzy metrics and its applications. Acta Math. Sin. 1987, 30, 733–741. (In Chinese) [Google Scholar]
  26. Luo, M.K. A note on fuzzy paracompact and fuzzy metric. J. Sichuan Univ. 1985, 4, 141–150. (In Chinese) [Google Scholar]
  27. Luo, M.K. Paracompactness in fuzzy topological spaces. J. Math. Anal. Appl. 1988, 130, 55–77. [Google Scholar] [CrossRef] [Green Version]
  28. Minda, D. The Hurwitz metric. Complex Anal. Oper. Theory 2016, 10, 13–27. [Google Scholar] [CrossRef]
  29. Shi, F.G. Pointwise quasi-uniformities and p.q. metrics on completely distributive lattices. Acta Math. Sinica 1996, 39, 701–706. (In Chinese) [Google Scholar]
  30. Shi, F.G. Pointwise pseudo-metrics in L-fuzzy set theory. Fuzzy Sets Syst. 2001, 121, 209–216. [Google Scholar] [CrossRef]
  31. Shi, F.G.; Zheng, C.Y. Metrization theorems on L-topological spaces. Fuzzy Sets Syst. 2005, 149, 455–471. [Google Scholar] [CrossRef]
  32. Shi, F.G. (L,M)-fuzzy metric spaces. Indian J. Math. 2010, 52, 231–250. [Google Scholar]
  33. Shi, F.G. L-metric on the space of L-fuzzy numbers. Fuzzy Sets Syst. 2020, 399, 95–109. [Google Scholar] [CrossRef]
  34. Shi, F.G. Regularity and normality of (L,M)-fuzzy topological spaces. Fuzzy Sets Syst. 2011, 182, 37–52. [Google Scholar] [CrossRef]
  35. S̆ostak, A.P. Basic structures of fuzzy topology. J. Math. Sci. 1996, 78, 662–701. [Google Scholar] [CrossRef]
  36. Yang, L.C. Theory of p.q. metrics on completely distributive lattices. Chin. Sci. Bull. 1988, 33, 247–250. (In Chinese) [Google Scholar]
  37. Yue, Y.; Shi, F.G. On fuzzy pseudo-metric spaces. Fuzzy Sets Syst. 2010, 161, 1105–1116. [Google Scholar] [CrossRef]
  38. Artico, G.; Moresco, R. On fuzzy metrizability. J. Math. Anal. Appl. 1985, 107, 144–147. [Google Scholar] [CrossRef]
  39. Eklund, P.; Gäbler, W. Basic notions for fuzzy topology I/II. Fuzzy Sets Syst. 1988, 27, 171–195. [Google Scholar] [CrossRef]
  40. George, A.; Veeramani, P. On some results of analysis for fuzzy metric spaces. Fuzzy Sets Syst. 1997, 90, 365–368. [Google Scholar] [CrossRef]
  41. Kramosil, I.; Michalek, J. Fuzzy metric statistical metric spaces. Kybernetica 1975, 11, 336–344. [Google Scholar]
  42. Morsi, N.N. On fuzzy pseudo-normed vector spaces. Fuzzy Sets Syst. 1988, 27, 351–372. [Google Scholar] [CrossRef]
  43. Çayh, G.D. On the structure of uninorms on bounded lattices. Fuzzy Sets Syst. 2019, 357, 2–26. [Google Scholar]
  44. Hua, X.J.; Ji, W. Uninorms on bounded lattices constructed by t-norms and t-subconorms. Fuzzy Sets Syst. 2022, 427, 109–131. [Google Scholar] [CrossRef]
  45. Grabiec, M. Fixed points in fuzzy metric spaces. Fuzzy Sets Syst. 1988, 27, 385–389. [Google Scholar] [CrossRef]
  46. Sharma, S. Common fixed point theorems in fuzzy metric spaces. Fuzzy Sets Syst. 2002, 127, 345–352. [Google Scholar] [CrossRef]
  47. Yager, R.R. Defending against strategic manipulation in uninorm-based multi-agent decision making. Fuzzy Sets Syst. 2003, 140, 331–339. [Google Scholar] [CrossRef] [Green Version]
  48. Adibi, H.; Cho, Y.; O’regan, D.; Saadati, R. Common fixed point theorems in L-fuzzy metric spaces. Appl. Math. Comput. 2006, 182, 820–828. [Google Scholar] [CrossRef]
  49. Al-Mayahi, N.F.; Ibrahim, L.S. Some properties of two-fuzzy metric spaces. Gen. Math. Notes 2013, 17, 41–52. [Google Scholar]
  50. Peng, Y.W. Simplification of Erceg fuzzy metric function and its application. Fuzzy Sets Syst. 1993, 54, 181–189. [Google Scholar]
  51. Gierz, G.; Hofmann, K.H.; Keimel, K.; Lawson, J.D.; Mislove, M.W.; Scott, D.S. A Compendium of Continuous Lattices; Springer: Berlin/Heidelberg, Germany, 1980. [Google Scholar]
  52. Wang, G.J. Theory of L-Fuzzy Topological Spaces; Shaanxi Normal University Press: Xi’an, China, 1988. (In Chinese) [Google Scholar]
  53. Wang, G.J. Theory of topological molecular lattices. Fuzzy Sets Syst. 1992, 47, 351–376. [Google Scholar]
  54. Pu, P.M.; Liu, Y.M. Fuzzy topology I. neighborhood structure of a fuzzy point and Moore-Smith convergence. J. Math. Anal. Appl. 1980, 76, 571–599. [Google Scholar]
  55. Zimmermann, H.J. Fuzzy Set Theory and Its Applications, 4th ed.; Kluwer Academic Publishers: Boston, MA, USA; Dordrecht, The Netherlands; London, UK, 2001. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Meng, B.; Chen, P.; Ba, X. Expansion Theory of Deng’s Metric in [0,1]-Topology. Mathematics 2023, 11, 3414. https://doi.org/10.3390/math11153414

AMA Style

Meng B, Chen P, Ba X. Expansion Theory of Deng’s Metric in [0,1]-Topology. Mathematics. 2023; 11(15):3414. https://doi.org/10.3390/math11153414

Chicago/Turabian Style

Meng, Bin, Peng Chen, and Xiaohui Ba. 2023. "Expansion Theory of Deng’s Metric in [0,1]-Topology" Mathematics 11, no. 15: 3414. https://doi.org/10.3390/math11153414

APA Style

Meng, B., Chen, P., & Ba, X. (2023). Expansion Theory of Deng’s Metric in [0,1]-Topology. Mathematics, 11(15), 3414. https://doi.org/10.3390/math11153414

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop