1. Introduction
A convex function has a convex set as its epigraph; therefore, the theory of inequality of convex functions falls under the umbrella of convexity. Nonetheless, it is a significant theory in and of itself, as it affects practically all fields of mathematics. The graphical analysis is most often the initial issue that necessitates the acquaintance with this theory. This is an opportunity to learn about the second derivative test of convexity, which is a useful tool for detecting convexity. The difficulty of identifying the extreme values of functions with many variables, as well as the application of Hessian as a higher dimensional generalization of the second derivative, follows. Holder, Jensen, and Minkowski all made early contributions to convex analysis. The next step is to go on to optimization issues in infinite dimensional spaces; however, despite the technological sophistication required to solve such problems, the fundamental concepts are quite similar to those underlying the one variable situation. Despite numerous applications, many contemporary difficulties in economics and engineering, the relevance of convex analysis is well recognized in optimization theory [
1,
2,
3], and the idea of convexity no longer suffices.
Over the years, remarkable varieties of convexities, such as harmonic convexity [
4], quasi convexity [
5], Schur convexity [
6], strong convexity [
7,
8],
p-convexity [
9], fuzzy convexity [
10,
11], fuzzy preinvexity [
12] and generalized convexity [
13],
p-convexity [
14] and so on, have been introduced to convex sets and convex functions. A fascinating field for research is the definition of convexity with an integral problem. Therefore, several authors have identified a great number of equalities or inequalities as applications of convex functions. The representative results include Gagliardo–Nirenberg-type inequality [
15], Hardy-type inequality [
16], Ostrowski-type inequality [
17], Olsen-type inequality [
18], and the most commonly known inequality of, namely, the H–H inequality [
19]. Similarly, many authors have devoted themselves to study the fractional integral inequalities for single-valued and interval-valued functions, see [
20,
21,
22,
23,
24,
25,
26,
27,
28].
In ref. [
29], the enormous research work fuzzy set and system has been dedicated on development of different fields, and it plays an important role in the study of a wide class problems arising in pure mathematics and applied sciences including operation research, computer science, managements sciences, artificial intelligence, control engineering and decision sciences. Recently, fuzzy interval analysis and fuzzy interval-valued differential equations have been put forward to deal the ambiguity originate by insufficient data in some mathematical or computer models that determine real-world phenomena [
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40]. There are some integrals to deal with fuzzy-interval-valued functions (in short,
F-I-V-Fs), where the integrands are
F-I-V-Fs. For instance, Osuna-Gomez et al. [
41], and Costa et al. [
42] constructed Jensen’s integral inequality for
F-I-V-Fs through a Kulisch–Miranker order relation, see [
43]. By using the same approach, Costa and Roman-Flores also presented Minkowski and Beckenbach’s inequalities, where the integrands are
F-I-V-Fs. This paper is motivated by [
42,
43,
44] and especially by Costa et al. [
45] because they established a relation between elements of fuzzy-interval space and interval space, and introduced level-wise fuzzy order relation on fuzzy-interval space through a Kulisch–Miranker order relation defined on interval space. For more information related to fuzzy interval calculus and generalized convex
F-I-V-Fs, see [
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61].
Inspired by the ongoing research work, the new class of generalized convex F-I-V-Fs is introduced, which is known as -convex F-I-V-Fs. With the help of this class and fuzzy Riemann integral operator, we introduce Jensen, Schur, and fuzzy interval H–H type inequalities via fuzzy order relation. Moreover, we show that our results include a wide class of new and known inequalities for -convex F-I-V-Fs and their variant forms as special cases. Some useful examples are also presented to verify the validity of our main results.
2. Definitions and Basic Results
Let
and
be the collection of all closed and bounded intervals, and fuzzy intervals of
. We use
to represent the set of all positive intervals. The collection of all Riemann integrable real-valued functions, Riemann integrable
I-V-Fs and fuzzy Riemann integrable
F-I-V-Fs over
is denoted by
,
and
, respectively. For more conceptions on interval-valued functions and fuzzy interval-valued functions, see [
36,
42,
43,
44]. Moreover, we have:
The inclusion
means that
for all
.
Remark 1 ([43]). The relation
defined on
by
for all
it is an order relation.
Proposition 1 ([7]). Let
be a set of fuzzy numbers. If
, then relation
defined on
by
this relation is known as partial order relation.
Theorem 1 ([50]). Let
be a
F-I-V-F, whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
. Then,
is fuzzy Riemann integrable over
if, and only if,
and
both are Riemann integrable over
. Moreover, if
is fuzzy Riemann integrable over
then
for all
.
Definition 1 ([10]). Let
be a convex set. Then,
F-I-V-F is named as a convex
F-I-V-F on
if the coming inequality
is valid for all
where
If (5) is reversed, then
is named as a concave on
.
is affine if and only if it is both a convex and concave function.
Definition 2. Let
be a
-convex set and
. Then,
F-I-V-F is named as a
-convex
F-I-V-F in the second sense on
such that
for all
where
. If (6) is reversed, then
is named as a
-concave
F-I-V-F in the second sense on
.
is
-affine if and only if it is both
-convex and
-concave
F-I-V-F in the second sense.
Remark 2. The -convex F-I-V-Fs in the second sense have some very nice properties similar to convex F-I-V-F:
- -
If we attempt to take as ()-convex F-I-V-F, then we can obtain that is also ()-convex F-I-V-F, for ;
- -
If we attempt to take both and both as -convex F-I-V-Fs, then we can obtain that is also a -convex F-I-V-F.
We now discuss some new and known special cases of -convex F-I-V-Fs in the second sense:
- -
If we attempt to take
, then from
-convex
F-I-V-F, we achieve
-convex
F-I-V-F, that is
- -
If we attempt to take
, then from
-convex
F-I-V-F, we achieve
-convex
F-I-V-F, see [
13]; that is,
- -
If we attempt to take
and
, then from
-convex
F-I-V-F, we achieve convex
F-I-V-F, see [
13,
36], that is
Theorem 2. Let
be
-convex set and
be a
F-I-V-F, whose
-levels define the family of IVFs
are given by
for all
and for all
. Then,
is
-convex
F-I-V-F in the second sense on
if and only if, for all
and
both are
-convex functions in the second sense.
Proof. Assume that, for each
and
are
-convex function in the second sense on
Then, from Equation (6), we have
and
Then, by Equation (10), we obtain
that is
Hence, is -convex F-I-V-F in the second sense on .
Conversely, let
be
-convex
F-I-V-F in the second sense on
Then, for all
and
we have
Therefore, from Equation (10), we have
Again, from Equation (10), we obtain
Then, by
-convexity in the second sense of
, we have
and
for each
Hence, the result follows. □
Remark 3. On the basis of Theorem 2, we consider the special situation as below:
- -
If we attempt to take
with
, then from Definition 2, we obtain the
-convex function, see [
46];
- -
If we attempt to take
with
and
, then from Definition 2, we obtain the
-convex function, see [
9];
- -
If we attempt to take
with
,
and
, then from Definition 2, we obtain the
-function, see [
47].
Example 1. We consider the
F-I-V-F defined by
Then, for each we have . Since end point functions and both are -convex functions in the second sense for each and . Hence, is -convex F-I-V-F in the second sense.
3. Discrete Inequalities for -Convex F-I-V-F in the Second Sense
In the following, we establish the following result:
Theorem 3. (Discrete Jensen type inequality for
-convex
F-I-V-F) Let
,
and
be a
-convex
F-I-V-F, whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
, then
where
If
is
-concave
F-I-V-F, then inequality Equation (29) is reversed.
Proof. When
then inequality Equation (12) is true. Considering that inequality Equation (29) is true for
then
Now, let us prove that inequality (12) holds for
Therefore, for each
we have
From which, we have
that is,
and the result follows. □
If then Theorem 3 reduces to the following result:
Corollary 1. Let
.
and
be a
-convex
F-I-V-F, whose
-levels define the family of
I-V-Fs
that are given by
for all
and for all
; then,
If is a -concave F-I-V-F, then inequality Equation (13) is reversed.
The next Theorem 4 gives the Schur-type inequality for -convex F-I-V-Fs.
Theorem 4. (Discrete Schur-type inequality for
-convex
F-I-V-F) Let
and
be a
-convex
F-I-V-F, whose
-levels define the family of IVFs
are given by
for all
and for all
. If
, such that
and
,
, we have
If is a -concave F-I-V-F, then inequality Equation (14) is reversed.
Proof. Let
. Then, by hypothesis, we have
Consider
, then
Since
is a
-convex
F-I-V-F then, by hypothesis, we have
Therefore, for each
we have
From Equation (16), we have
that is
A refinement of Jensen type inequality for -convex F-I-V-F is given in the following theorem.
Theorem 5. Let
,
,
and
be a
-convex
F-I-V-F, whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
. If
then
where
If
is
-concave
F-I-V-F, then inequality Equation (17) is reversed.
Proof. Consider
. Then, by hypothesis and inequality Equation (15), we have
Therefore, for each
, we have
The above inequality can be written as
Taking the sum of all inequalities (18) for
we have
that is
Thus,
and this completes the proof. □
We now consider some special cases of Theorems 3 and 5.
If , then Theorems 3 and 5 reduce to the following results:
Corollary 2 ([21]). (Jensen inequality for
-convex function) Let
,
,
and let
be a non-negative real-valued function. If
is a
-convex function, then
where
If
is
-concave function, then inequality (19) is reversed.
Corollary 3. Let
,
,
and
be a non-negative real-valued function. If
is a
-convex function and
then
where
If
is a
-concave function, then inequality (20) is reversed.
4. Hermite–Hadamard Type Inequalities for -Convex F-I-V-F in the Second Sense
In this section, we will continue with the H–H inequality for -convex fuzzy-I-V-Fs as well as the fuzzy-interval H–H Fejér inequality for -convex fuzzy-I-V-Fs using the fuzzy order relation. Firstly, we start with the following H–H inequality for -convex fuzzy-I-V-Fs:
Theorem 6. Let
be a
-convex
F-I-V-F, whose
-levels define the family of
I-V-Fs.
are given by
for all
and for all
. If
, then
If
is a
-concave
F-I-V-F, then
Proof. Let
be a
-convex
F-I-V-F. Then, by hypothesis, we have
Therefore, for each
, we have
In a similar way as above, we have
Combining Equations (23) and (24), we have
Hence, we obtain the required result. □
Remark 4. On the basis of Theorem 6, we consider the certain the special situation as below:
- -
If we attempt to take
with
, then we achieve the
-convex function, see [
9];
- -
If we attempt to take
, then we achieve the result for
-convex
F-I-V-F-:
- -
If we attempt to take
, then we achieve the result for
-convex
F-I-V-F, see [
13]:
- -
If we attempt to take
and
, then we achieve the result for
-convex
F-I-V-F, see [
13]:
- -
If we attempt to take
with
, then we acquire the result for classical
-convex function, see [
21]:
- -
If we attempt to take
with
and
, then we acquire the result for classical
-convex function:
- -
If we attempt to take
with,
and
, then we acquire the result for classical convex function:
Example 2. Let
be an odd number and
, and the
F-I-V-F defined by
Then, for each
we have
. Since end point functions
are
-convex functions for each
. Then,
is
-convex
F-I-V-F. We now compute the following:
for all
That means
and the Theorem 6 has been verified.
Theorem 7. Let
be a
-convex
F-I-V-F, whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
. If
, then
where
and
,
Proof. Take
and we have
Therefore, for each
, we have
In a similar way as above, we have
Combining Equations (33) and (34), we have
By using Theorem 6, we have
Therefore, for each
, we have
that is
hence, the result follows. □
Example 3. Let
be an odd number and the
F-I-V-F defined by,
as in Example 2, then
is
-convex
F-I-V-F and satisfies Equation (21). We have
We now compute the following:
Hence, Theorem 7 is verified.
The next Theorems 8 and 9 give the second H–H Fejér inequality and the first H–H Fejér inequality for -convex F-I-V-F, respectively.
Theorem 8. (Second H–H Fejér inequality for
-convex
F-I-V-F) Let
be a
-convex
F-I-V-F with
, whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
. If
and
-symmetric with respect to
then
If is -concave F-I-V-F, then Equation (35) is reversed.
Proof. Let
be a
-convex
F-I-V-F. Then, for each
, we have
and
After adding Equations (36) and (37), and integrating over
we get
Since
is symmetric, then
From Equation (39) and integrating with respect to
over
, we have
that is,
hence
□
Theorem 9. (First H–H Fejér inequality for
-convex
F-I-V-F) Let
be a
-convex
F-I-V-F with
whose
-levels define the family of
I-V-Fs
are given by
for all
and for all
. If
and
-symmetric with respect to
and
, then
If is -concave F-I-V-F, then inequality (40) is reversed.
Proof. Since
is a
-convex
F-I-V-F, then, for each
we have
By multiplying Equation (41) by
and integrating it by
over
we obtain
From Equation (43), we have
From this, we have
that is
and this completes the proof. □
Remark 5. If we attempt to take
in Theorems 8 and 9, then we achieve the appropriate theorems for
-convex
F-I-V-Fs, see [
13]:
- -
If we attempt to take
with
, then, from Theorems 8 and 9, we achieve classical first and second H–H Fejér inequality for
-convex function, [
21];
- -
If in Theorems 8 and 9, we attempt to take
with
and
, then we acquire the classical appropriate theorems for
-convex function, see [
49];
- -
If, in Theorems 8 and 9, we attempt to take
with
,
and
, then we acquire the appropriate theorems for a convex function [
48];
- -
If we attempt to take then combining Theorem 8 and Theorem 9, we acquire Theorem 4.1.
Example 4. We consider the
F-I-V-F defined by
Then, for each
we have
. Since end point functions
are
-convex functions, for each
, then
is
-convex
F-I-V-F. If
where
. Then, we have
and
From Equations (46) and (47), we have
Hence, Theorem 8 is verified.
From Equations (48) and (49), we have
Hence, Theorem 9 has been demonstrated.
5. Conclusions and Future Developments
Through this study, we have provided a reformative version of the different inequalities in the frame of fuzzy interval space, which offers a better approximation than the interval integral inequalities.
Then, for mappings satisfying the property “the product of two -convex F-I-V-Fs is a -convex F-I-V-F”, we created certain fuzzy interval integral inequalities in terms of the fuzzy interval H–H type inequalities. It is a fascinating topic to apply these fuzzy interval inequalities to -type special means, numerical integration, and probability density functions. With the methods and ideas provided in this article, the interested readers are encouraged to further excavation on fuzzy interval inequalities. In the future, we will try to explore this concept and its generalizations with the help of fuzzy fractional integral operators.
Author Contributions
Conceptualization, M.B.K.; validation, H.B. and S.T.; formal analysis, H.B. and S.T.; investigation, M.B.K. and S.T.; resources, M.B.K. and H.B.; writing—original draft, M.B.K. and H.B.; writing—review and editing, M.B.K. and S.T.; visualization, M.B.K., H.B. and S.T.; supervision, M.B.K. and S.T.; project administration, H.B., M.B.K. and S.T. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not Applicable.
Acknowledgments
The authors would like to thank the Rector, COMSATS University Islamabad, Islamabad, Pakistan, for providing excellent research.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
| Collection of all closed and bounded intervals |
| Collection of all closed and bounded positive intervals |
| Collection of all closed and bounded fuzzy intervals |
F-I-V-Fs
| Fuzzy-interval-valued functions |
I-V-Fs
| Interval-valued functions |
| order relation |
| fuzzy order relation |
-convex F-I-V-Fs | -Convex fuzzy-interval-valued functions |
H–H inequality | Hermite–Hadamard inequality |
H–H Fejér inequality | Hermite–Hadamard–Fejér inequality |
-integrable | Fuzzy Riemann integrable |
| Riemann integrable real-valued functions |
| Riemann integrable I-V-Fs |
| Riemann integrable F-I-V-Fs |
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