1. Introduction
Zadeh [
1] proposed the notion of fuzzy relations by generalizing the concepts of reflexivity, antisymmetry, and transitivity. Later, Venugopalan [
2] developed an efficient structure of fuzzy partial ordered sets. Since then, many authors have studied fuzzy ordering and relations by adopting different approaches [
3,
4,
5,
6,
7,
8].
Vector space is widely used in modeling different kinds of real-life scenarios. Beg and Islam [
9] gave the concept of fuzzy ordered linear spaces and studied their general properties and in [
10,
11] introduced the notion of fuzzy Riesz spaces and Archimedean fuzzy Riesz spaces. Beg [
12] defined and characterized the fuzzy positive operator and in [
13] gave further details on fuzzy order relations. Hong [
14] defined and studied many concepts like fuzzy Riesz subspaces, fuzzy ideals, fuzzy bands, and fuzzy band projections. Recently, Park et al. [
15] introduced the notion of Riesz fuzzy normed spaces.
Classically, vector spaces are used with other tools like topology, norm, and metric. Different types of convergence have many direct applications like in solving nonlinear equations [
16,
17]. Whereas, in a series of papers [
18,
19,
20,
21,
22], the unbounded order convergence is defined for the nets that are not necessarily to be order bounded in Banach lattices, this is a different approach than convergence in norm or topology. In function spaces, unbounded order convergence is the same as pointwise convergence. Indeed, It is easily seen that in
or
, unbounded order convergence of nets is an analogy to coordinate-wise convergence, and in measure spaces, unbounded order convergence of sequences is the same as convergence almost everywhere.
In order to handle imprecise and vague scenarios more effectively, a novel concept of unbounded fuzzy order convergence is proposed to deal with unbounded fuzzy ordered nets. In this regard, first the fuzzy order convergence [
9,
14] is redefined to overcome certain flaws, and based on this, unbounded fuzzy order convergence is defined. Then, an in depth theoretical investigation is done to study its various properties. However, it is much harder to determine the unbounded fuzzy order convergence of a given net. To resolve this issue, the notion of the fuzzy weak order unit is proposed to reduce the labor of checking unbounded fuzzy order convergence. Thus, unbounded fuzzy order convergence is nicely characterized in fuzzy Dedekind complete Riesz spaces.
To further develop the theory for practical use, the completeness of a fuzzy Riesz space is also explored with respect to unbounded fuzzy order convergence. For this purpose, the fuzzy ideals and fuzzy bands are studied in connection with fuzzy order convergence, and some results are given in the end as applications. The results and theory developed in this paper not only helped us to achieve the main goal of defining and characterizing unbounded fuzzy order convergence in fuzzy Riesz spaces but can also be used to develop and study more theoretical concepts like locally convex-solid fuzzy Riesz spaces, fuzzy Banach lattices, and unbounded fuzzy norm convergence in fuzzy Banach lattices, for better practical applications.
The paper is organized as follows.
Section 2 provides the preliminary concepts necessary to understand the proposed work.
Section 3 is for unbounded fuzzy convergence and its basic properties.
Section 4 is devoted to defining and studying the fuzzy weak order unit in Dedekind complete fuzzy Riesz space. Finally, some concluding remarks for possible future work are given in
Section 5.
2. Preliminaries
We recall some basic concepts from [
9,
10,
14].
Definition 1. A fuzzy order μ on a set K is a fuzzy set on with the understanding that k precedes g if and only if for and the following conditions are also satisfied:
- (i)
(reflexivity);
- (ii)
for implies (antisymmetric);
- (iii)
for (transitivity).
The space is called fuzzy ordered set (FOS).
Definition 2. Let be an FOS, for , two related fuzzy sets and are known as and for , respectively. For , then two fuzzy sets and are defined as follows. Let denote the set of all upper bounds of C, and if . Analogously, denotes the set of all lower bounds, and if . In addition, is known as the supremum of C in K if and (ii) . The infimum is defined analogously. A subset C is said to be fuzzy order bounded if and are non-empty.
Definition 3. A real vector space K with fuzzy order μ is known as a fuzzy ordered vector space (FOVS) if μ satisfies:
- (i)
for if then for all ;
- (ii)
for if then for all .
Let be an FOVS. Then is known as positive if and negative if . Moreover, will be referred to as the set of positive elements in K. is called a directed upwards set if for each finite subset D of A we have . The directed downwards set is defined analogously. Furthermore, a net for each reads as the net being directed upwards to k, i.e., for , we have , and . is defined analogously.
An FOVS is said to be Archimedean if for all implies that for all . Therefore, and is unbounded from above for all .
Definition 4. An FOVS is said to be a fuzzy Riesz space (FRS) if and exist in K for all .
For , and are defined to be positive and negative parts of k, respectively, whereas the absolute value of k is defined as . Furthermore, let be called orthogonal or disjoint if , and written as . In addition, for are called disjoint and denoted by if for each and . Moreover, if , then its disjoint complement is defined as .
Proposition 1. If k and g are elements of an FRS , then
- (i)
;
- (ii)
;
- (iii)
;
- (iv)
;
- (v)
.
Definition 5. A vector subspace L of an FRS is known as a fuzzy Riesz subspace if L is closed under fuzzy Riesz operations ∨ and ∧.
Definition 6. An FRS is called:
- (i)
fuzzy order complete if each non-empty subset of K has a supremum and infimum in K;
- (ii)
fuzzy order complete if each nonempty countable subset of K has a supremum and infimum in K;
- (iii)
fuzzy Dedekind complete if each non-empty subset of K which is bounded from above has a supremum in K;
- (iv)
fuzzy Dedekind complete if each nonempty countable subset of K that is bounded from above has a supremum in K.
3. Unbounded Fuzzy Order Convergence
Although the notion of fuzzy order convergence is a central tool in studying the fuzzy Riesz spaces, the definition given in [
9,
14] has some limitations that we now try to overcome. Later, it will be generalized as unbounded fuzzy order convergence to open new horizons, and its various properties are studied.
Definition 7. A net in an FRS is said to be fuzzy order convergent (fo-convergent for short) to denoted if there exists another net in directed downwards to zero such that for each .
But the above definition cannot truly fulfill the concepts of convergence, as intuitively, if we add some terms at the start of net, then convergence should not be changed. The following example illustrates our point.
Example 1. Let be an Archimedean FRS. Then for , the net . Therefore, according to Definition 7. On the other hand, negative integers are added and placed between 1 and 2 in the index set. Thus, the new index set is denoted asand the extended net is defined as Clearly, is not fuzzy order convergent to zero according to Definition 7.
This deficiency is pointed out in [
18] for the classical order convergence. Therefore, a new definition is proposed to overcome this issue.
Definition 8. A net in an FRS is said to be fuzzy order convergent (fo-convergent for short) to denoted if there exists another net in directed downwards to zero, and for each there exist such that whenever .
One can check—the extended net in Example 1 is fuzzy order convergent to zero according to Definition 8. Clearly, Definition 7 implies Definition 8. From here on, fuzzy order convergence will be considered according to Definition 8 without reference. The generalization of fo-convergence is given below.
Definition 9. A net in an FRS is said to be unbounded fuzzy order convergent (ufo-convergent for short) to denoted if for each .
Note that fo-convergence implies ufo-convergence. The ufo-convergence has a number of nice characterizing conditions.
Proposition 2. If and are nets in an FRS , then the following statements are true:
- (i)
iff ;
- (ii)
if and , then for each ;
- (iii)
if and , then ;
- (iv)
if , then
- (a)
;
- (b)
.
Furthermore, (a) and (b) imply that - (v)
If a positive net and , , then .
Proof. - (i)
Suppose . Then for each , hence . The converse can be proved analogously.
- (ii)
Suppose
and
. Then we have
and
for each
,
, and
. It follows that
. Fix
, and let
. Check that
. If
, then
and
. If
then
and
and
. In each case
.
Let
for each
. Let
. Observe that
. Also
Hence,
.
Suppose . As for each . So . Hence, . Thus this gives that . The final statement follows from .
By Proposition 2, . by uniqueness of fuzzy order limit. As , then , and we have .
☐
Remark 1. Let be a fuzzy order bounded net in a Dedekind complete FRS . Then iff . Moreover, two sequences and are called disjoint if or () holds for . The ufo-convergence for disjoint sequences in σ-Dedekind complete FRS is discussed in the following proposition.
Proposition 3. - (i)
Let be a disjoint sequence in a σ-Dedekind complete FRS . Then in K.
- (ii)
Let be a sequence in an FRS . If , then for each increasing sequence of natural numbers.
Proof. - (i)
Fix
. We will show that
. Indeed, let
such that
. Therefore,
Thus,
for all
. It follows that
Hence,
.
- (ii)
Suppose . Take as an increasing sequence of natural numbers. Clearly, . Let for each , and . Therefore, implies that . Hence, .
☐
4. Fuzzy Weak Order Unit
Our next goal is to reduce the task of checking ufo-convergence at every positive vector to a single special vector, which will be defined as fuzzy weak order unit that allows us to nicely characterize ufo-convergence. Before that, we present some important theoretical concepts as follows.
Definition 10. Let be an FRS.
- (i)
A subset C of K is said to be fuzzy order closed (fo-closed for short) if for any net and with in K implies .
- (ii)
A subset S of K is called fuzzy solid if and implies .
- (iii)
A fuzzy solid vector subspace I of K is called a fuzzy ideal of K.
- (iv)
A fuzzy order closed ideal in K is said to be a fuzzy band.
For
, the fuzzy band generated by
k is known as the principal fuzzy band and defined as
by Corollary 5.4 in [
14]. The fuzzy band generated by a non-zero positive element is discussed as follows.
Definition 11. Let be an FRS, and is said to be a fuzzy weak order unit if the fuzzy band generated by w satisfies , or equivalently, for each .
Proposition 4. Let be an Archimedean FRS. Then is a fuzzy weak order unit if and only if implies for each .
Proof. It follows from the definition of fuzzy weak order unit, Theorems 4.7 and 5.8 in [
14]. ☐
Proposition 4 leads to the following result.
Proposition 5. Let be a Dedekind complete FRS with a fuzzy weak order unit w. Then iff .
Proof. Suppose
. Take any
. As
K is fuzzy Dedekind complete, then
Thus, w being a fuzzy weak order unit implies that . Hence, .
The converse follows from Definition 9. ☐
We defined and studied the properties of the fuzzy component in Dedekind complete FRS in which ufo-convergence is nicely characterized.
Definition 12. Let be an FRS. A vector is said to be the fuzzy component of w whenever for .
Remark 2. For , denotes the fuzzy component of w in the fuzzy band generated by k. So for each , is the fuzzy component of w in the fuzzy band generated by , and we set . In a Dedekind complete FRS with and letting , then .
Now, many lemmas are proved in order to characterize the ufo-convergence with the help of fuzzy components.
Lemma 1. If is a Dedekind complete FRS and , thenfor . Proof. Remark 2 yields that and . Therefore, and implies . ☐
Lemma 2. If is a Dedekind complete FRS and a net in , then implies . But the converse is not true.
Proof. For each , , so and . Thus, . Hence, . To see that the converse is false, take a set for all . ☐
Lemma 3. Let be a Dedekind complete FRS and a net in . Then for each iff .
Proof. For the forward implication, we show that for each . Fix . By Lemma 2, . So , which implies .
The converse follows from Lemma 1. ☐
Lemma 4. If is a Dedekind complete FRS and a net in , then implies . The converse is not true.
Proof. The proof is essentially the same as for Lemma 2 with the use of Lemma 5. ☐
Now, the characterization of ufo-convergence is established in the following theorem.
Theorem 1. Let be a Dedekind complete FRS and a net in . Then for each iff .
Proof. For the forward implication, suppose the net
is fuzzy order bounded. We show that
Fix . By Lemma 4, . In particular, , thus such that .
Now drop the supposition that
is fuzzy order bounded. For every
,
Since is fuzzy order bounded, then .
The backward implication is followed from Lemma 1. ☐
Fuzzy Ideals and Completeness with Respect to Ufo-Convergence
The fuzzy ideal is a useful structure with important properties that can help to study ufo-convergence. To work in the fuzzy ideal is much easier than to work in the whole space. Indeed, it is shown that ufo-convergence in the fuzzy ideal is equivalent to ufo-convergence in the complete space.
Remark 3. Let be an FRS, I be a fuzzy ideal of K, and . If in I, then in K. Conversely, If is fuzzy order bounded in I and in K, then in I.
Proposition 6. Let be a Dedekind complete FRS and a net in fuzzy ideal I of K. Then in I iff in K.
Proof. Suppose in K. Then for any such that in K, Remark 3 yields in I. Hence, in I. Conversely, take any , then in I, and again by Remark 3, in K. It follows that for any and positive such that in K.
For any
and
, we have
. Therefore, by Remark 3,
in
K, or equivalently,
Theorem 4.7 (i) in [
14] yields that
. Thus,
Hence, in K. ☐
The closeness of ufo-convergence is defined and discussed as follows.
Definition 13. Let be an FRS. For is said to be unbounded fuzzy order closed (ufo-closed for short) if for any net and with in K implies .
Proposition 7. Let L be a fuzzy Riesz subspace of an FRS . Then L is ufo-closed in K iff L is fo-closed in K.
Proof. The forward implication is obvious.
Conversely, suppose
L is fo-closed in
K. Let
and
such that
in
K. By Lemma 2(iv),
in
K. Therefore, without loss of generality, consider
and
. Observe that for each
, then
Consequently, for any
,
in
K. As
L is fo-closed, then
. On the other hand, for any
, then
for each
, so that by (
1),
. Thus,
, which is fuzzy band generated by
L in
K.
It follows that there is a net
in the fuzzy ideal generated by
such that
in
K. Moreover, for each
there exists
such that
. So
implies that
in
K. Therefore,
in
K. Hence,
and
L is fo-closed, then
. ☐