Abstract
Many authors have recently examined the relationship between symmetry and generalized convexity. Generalized convexity and symmetry have become a new area of study in the field of inequalities as a result of this close relationship. In this article, we introduce the idea of preinvex fuzzy-interval-valued functions (preinvex F∙I-V∙F) on coordinates in a rectangle drawn on a plane and show that these functions have Hermite–Hadamard-type inclusions. We also develop Hermite–Hadamard-type inclusions for the combination of two coordinated preinvex functions with interval values. The weighted Hermite–Hadamard-type inclusions for products of coordinated convex interval-valued functions discussed in a recent publication by Khan et al. in 2022 served as the inspiration for our conclusions. Our proven results expand and generalize several previous findings made in the body of literature. Additionally, we offer appropriate examples to corroborate our theoretical main findings.
Keywords:
fuzzy-interval-valued function; fuzzy-interval double integral operator; coordinated preinvex fuzzy-interval-valued function; Hermite–Hadamard inequality; Hermite–Hadamard–Fejér inequality MSC:
26A33; 26A51; 26D07; 26D10; 26D15; 26D20
1. Introduction
The H-H inequality has been a potent instrument to obtain a lot of excellent results in integral inequalities and optimization theory because of its crucial role in convex analysis. It has recently been generalized using other convexity types, particularly s-convex functions [1,2,3,4], log-convex functions [5,6,7], harmonic convexity [8], and particularly for h-convex functions [9]. Since 2007, numerous H-H inequalities for h-convex function extensions and generalizations have been established in [10,11,12,13,14,15,16].
On the other hand, Archimedes’ calculation of the circumference of a circle can be linked to the theory of interval analysis, which has a lengthy history. However, due to a lack of applications to other sciences, it was forgotten for a very long time. Burkill [17] developed several fundamental interval function features in 1924. Kolmogorov’s [18] generalization of Burkill’s findings from single-valued functions to multi-valued functions came shortly after. Of course, throughout the following 20 years, numerous additional outstanding achievements were also obtained. Please take notice that Moore was the first to realize how interval analysis might be used to calculate the error boundaries of computer numerical solutions. The theoretical and applied research on interval analysis has received a lot of attention and has produced useful discoveries during the past 50 years since Moore [19] published the first monograph on the subject in 1966. In more recent years, Nikodem et al. [20] and, particularly, Budak et al. [21], Chalco–Cano et al. [22,23], Costa et al. [24,25,26], Román–Flores et al. [27,28], Flores–Franuli et al. [29], and Zhao et al. [30,31,32,33] have expanded various well-known inequalities. For more information, see [34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69] and the references are therein.
We introduce the coordinated preinvex functions in fuzzy interval-valued settings, which are inspired by Dragomir [34], Latif and Dragomir [44], and Khan et al. [37,38]. We also talk about how coordinated fuzzy-interval preinvexity and preinvexity relate to one another. The key findings of this study are new fuzzy-interval versions of Hermite–Hadamard-type inequalities that we develop with the help of newly defined coordinated fuzzy-interval preinvexity. Finally, we provide some examples to highlight our key findings. The current findings can also be seen as instruments for further study into topics like inequalities for fuzzy-interval-valued functions, fuzzy interval optimization, and generalized convexity.
2. Preliminaries
Let be the space of all closed and bounded intervals of and be defined by
If , then is said to be degenerate. In this article, all intervals will be non-degenerate intervals. If , then is called a positive interval. The set of all positive intervals is denoted by and defined as
Let and be defined by
Then, the Minkowski difference , addition , and for are defined by
Remark 1.
(i) For given the relation “” defined onbyif and only if
for allit is a partial interval inclusion relation. The relationcoincides withonIt can be easily seen that “” looks like “up and down” on the real lineso we call “” as “up and down” (or “UD” order, in short) [40].
(ii) For givenwe say thatif and only if
it is a partial interval order relation. The relationis coincident toonIt can be easily seen that “” looks like “left and right” on the real lineso we call “” as “left and right” (or “LR” order, in short) [39,40].
For the Hausdorff–Pompeiu distance between intervals and is defined by
It is a familiar fact that is a complete metric space [42,43,44].
Definition 1
([40,41]). A fuzzy subset of is distinguished by mapping called the membership mapping of . That is, a fuzzy subset of is mapping . So, for further study, we have chosen this notation.We appoint to denote the set ofall fuzzy subsets of .
Let. Then,is known as a fuzzy number or fuzzy interval if the following properties are satisfied by:
- (1)
- should be normal if there existsand
- (2)
- should be upper semi continuous onif for giventhere existor there existsuch thatfor allwith
- (3)
- should be fuzzy convex, that isfor alland
- (4)
- should be compactly supported, that isis compact.
We appointto denote the set ofall fuzzy intervals or fuzzy numbers of.
Definition 2
([40,41]). Given , the level sets or cut sets are given by for all and by . These sets are known as -level sets or -cut sets of .
Proposition 1
([39]). Let . Then relation “” given on by when and only when, , for every it is left and right order relation.
Remember the approaching notions, which are offered in literature. If and , then, for every the arithmetic operations are defined by
These operations follow directly from the Equations (2)–(5), respectively.
Theorem 1
([40]). The space dealing with a supremum metric, i.e., for
Is a complete metric space, where denote the well-known Hausdorff metric on the space of intervals.
Definition 3
([40]). The F∙I-V∙F is said to be convex F∙I-V∙F on if
for all where . If is concave F∙I-V∙F on , then inequality (14) is reversed.
Definition 4
([37]). Let such that . Then, F∙I-V∙F is said to be -preinvex F∙I-V∙F on if
for all where and . If is -concave on , then inequality (15) is reversed.
Remark 2
([37]). If then -preinvex F∙I-V∙F becomes -preinvex F∙I-V∙F, that is
Ifthen-preinvex F∙I-V∙F becomes preinvex F∙I-V∙F, that is
Ifthen-preinvex F∙I-V∙F becomesF∙I-V∙F, that is
Condition 1
(see [46]). Let be an invex set with respect to For any and ,
Clearly for= 0, we have= 0 if and only if,, for all. For the applications of Condition 1, see [46,47,48].
Theorem 2
([19]). If is an I-V∙F given by , then is Riemann integrable over if and only if, and both are Riemann integrable over such that
The collection of all Riemann integrable real-valued functions and Riemann integrable I-V∙F is denoted byandrespectively.
Definition 5
([45]). Let is fuzzy-number valued mapping. The fuzzy Riemann integral (-integral) of over denoted by , is defined level-wise by
where for every . is -integrable over if
Note that, the Theorem 2 is also true for interval double integrals. The collection of all double integrable I-V∙F is denoted respectively.
Theorem 3
([32]). Let . If is -integrable on , then we have
Definition 6
([38]). A fuzzy-interval-valued map is called F∙I-V∙F on coordinates. Then, from -levels, we get the collection of I-V∙Fs on coordinates given by for all , where are called lower and upper functions of .
Definition 7
([38]). Let be a coordinated F∙I-V∙F. Then, is said to be continuous at if for each both end point functions and are continuous at
Definition 8
([38]). Let be a F∙I-V∙F on coordinates. Then, fuzzy double integral of over denoted by , it is defined level-wise by
for all is -integrable over if Note that, if end-point functions are Lebesgue-integrable, then is a fuzzy double Aumann-integrable function over .
Theorem 4
([38]). Let be a F∙I-V∙F on coordinates. Then, from -levels, we get the collection of I-V∙Fs are given by for all and for all Then, is -integrable over if and only if, and both are -integrable over Moreover, if is -integrable over then
for all
The family of all -integrable F∙I-V∙Fs over coordinates is denoted by for all
Theorem 5
([38]). Let , and . Then,
- (1)
- and
- (2)
- , and
- (3)
- suppose thatandare non-overlapping, then
Theorem 6
([37]). Let be two -preinvex F∙I-V∙Fs with and Then, from -levels, we get the collection of I-V∙Fs are given by and for all and for all . If is fuzzy Riemann integrable, then
and,
where and and
Remark 3.
Ifandthen (27) reduces to the result for preinvex F∙I-V∙F:
Ifandthen (28) reduces to the result for preinvex F∙I-V∙F:
Theorem 7
([37]). Let be a preinvex F∙I-V∙F with . Then, from -levels, we get the collection of I-V∙Fs are given by for all and for all , and Condition 1 for holds. If and symmetric with respect to and , then
Ifis preincave F∙I-V∙F, then inequality (31) is reversed.
Note that if, then we acquire the following inequality:
Coordinated preinvex fuzzy-interval-valued functions
Definition 9.
The F∙I-V∙Fis said to be a coordinated preinvex F∙I-V∙F onif
for allandwhereIf inequality (33) is reversed, thenis called coordinated concave F∙I-V∙F on.
The proof that Lemma 1 is straightforward will be omitted here.
Lemma 1.
Letbe a coordinated F∙I-V∙F on. Then,is a coordinated preinvex F∙I-V∙F onif and only if there exist two coordinated preinvex F∙I-V∙Fs,and,.
Proof.
From the Definition 9 of coordinated preinvex F∙I-V∙F, it can be easily proved. □
From Lemma 1, we can easily note each preinvex F∙I-V∙F is a coordinated preinvex F∙I-V∙F. However, the converse is not true, see Example 1.
Theorem 8.
Letbe a F∙I-V∙F on. Then, from-levels, we get the collection of I-V∙Fswhich are given by
For alland for all. Then,is coordinated preinvex F∙I-V∙F onif and only if, for all andare coordinated preinvex functions
Proof.
Assume that for each and are coordinated preinvex on Then, from (33), for all and , we have
and
Then, by (33), (10), and (12), we obtain
That is
hence, is a coordinated preinvex F∙I-V∙F on
Conversely, let be a coordinated preinvex F∙I-V∙F on Then, for all and we have
Therefore, again from (34), for each , we have
Again, (10) and (12), we obtain
for all and Then, by coordinated preinvexity of , we have for all and such that
and
for each Hence, the result follows. □
Remark 4.
If one takes and, thenis known as aconvex F∙I-V∙F on coordinates ifsatisfies the following inequality:
which is valid defined by Khan et al. [38].
If one takeswith, thenis known as a preinvex function on coordinates ifsatisfies the following inequality
which is defined by Latif and Dragomir [44].
If one takeswith, thenis known as a convex function on coordinates ifsatisfies the following inequality
is valid, thenis named as IVFon coordinates, which is defined by Dragomir [34].
Example 1.
We consider the F∙I-V∙Fs defined by,
Then, for eachwe have. End-point functions are coordinated concave functions with respect toandfor each. Hence,is a coordinated concave F∙I-V∙F.
From Example 1, it can be easily seen that each coordinated preinvex F∙I-V∙F is not a preinvex F∙I-V∙F.
Theorem 9.
Letbe a coordinated preinvex set, and letbe a F∙I-V∙F. Then, from-levels, we obtain the collection of I-V∙Fsare given by
for alland for all. Then,is a coordinated preinvex F∙I-V∙F onif and only if, for all andare coordinated preinvex functions
Proof.
The proof of Theorem 9 is similar to that of Theorem 8. □
Example 2.
We consider the F∙I-V∙Fs defined by,
Then, for eachwe have. End-point functions are coordinated preincave functions with respect toandfor each. Hence,is a coordinated preincave F∙I-V∙F.
In the next results, to avoid confusion, we will not include the symbols , , , , and before the integral sign.
3. Fuzzy-Interval Hermite-Hadamard Inequalities
In this section, we propose HH- and HH–Fejér inequalities for coordinated preinvex F∙I-V∙Fs, and verify with the help of some nontrivial example.
Theorem 10.
Letbe a coordinated preinvex F∙I-V∙F on. Then, from-levels, we get the collection of I-V∙Fsare given byfor alland for all, and Condition 1 forandholds. Then, the following inequality holds:
Ifpreincave F∙I-V∙F, then inequality (38) is reversed such that,
Proof.
Let be a coordinated preinvex F∙I-V∙F. Then, by hypotheses, we have
By using Theorem 10, for every , we have
By using Lemma 1, we have
and
From (41) and (42), we have
and
It follows that
and
Since And , both are coordinated preinvex-I-V∙Fs, then from inequality (32), for every , inequality (42) and (43), we have
and
Dividing double inequality (44) by , and integrating with respect to over we have
Similarly, dividing double inequality (46) by , and integrating with respect to over we have
By adding (46) and (47), we have
Since is F∙I-V∙F, then inequality (48), we have
From the left side of inequality (32), for each , we have
Taking addition of inequality (50) with inequality (51), we have
Since is a F∙I-V∙F, then it follows that
Now from right side of inequality (32), for every , we have
By adding inequalities (54)–(57), we have
Since is a F∙I-V∙F, then it follows that
By combining inequalities (50), (53), and (58), we get the desired result. □
Remark 5.
If one takesand, then from (39), we acquire the following inequality, see [38]:
Ifwith, then from (39), we acquire the following inequality, see [44]:
Ifwithand,and, then from (39), we acquire the following inequality, see [34]:
Example 3.
We consider the F∙I-V∙Fsdefined by,
Then, for eachwe have. End-point functionsare coordinated preinvex functions with respect toandfor each. Hence,. is a coordinated preinvex F∙I-V∙F.
That is
Hence, Theorem 10 has been verified.
We now obtain some HH-inequalities for the product of coordinated preinvex F∙I-V∙Fs which are known as Pachpatte Type inequalities. These inequalities are refinements of some known inequalities; see [34,37,38,44].
Theorem 11.
Letbe two coordinated preinvex F∙I-V∙Fs on whose-levelsare defined byandfor alland for all. If Condition 1 forandis fulfilled, then following inequality hold:
where
and for each, andare defined as follows:
Proof.
Let and both are coordinated preinvex F∙I-V∙Fs on . Then
and
Since and both are coordinated preinvex F∙I-V∙Fs, then by Lemma 1, there exist
and
Since , and are F∙I-V∙Fs, then by inequality (29), we have
and
For each we have
and
The above inequalities can be written as
and
Firstly, we solve inequality (63), taking integration on the both sides of inequality with respect to over interval and dividing both sides by , we have
Now again by inequality (29), for each we have
From (66)–(69), inequality (65) we have
That is
Hence, this concludes the proof of theorem. □
Theorem 12.
Letbe two coordinated preinvex F∙I-V∙Fs. Then, from-levels, we get the collection of I-V∙Fsare given byandfor alland for all. If Condition 1 forandis fulfilled, then following inequality hold:
where,, andare given in Theorem 11.
Proof.
are two coordinated preinvex F∙I-V∙Fs, and then from inequality (30) and for each we have
and
Summing the inequalities (71) and (72), then taking the multiplication of the resultant one by 2, we obtain
Now, with the help of integral inequality (30) for each integral on the right-hand side of (73), we have
From (74)–(81), we have
Now, again with the help of integral inequality (30) for first two integrals on the right-hand side of (82), we have the following relation:
From (83) and (84), we have
It follows that
Now, using integral inequality (25) for integrals on the right-hand side of (85), we have the following relation:
From (86)–(93), inequality (95), we have
That is
We now give HH-Fejér inequality for coordinated preinvex F∙I-V∙Fs by means of FOR in the following result. □
Theorem 13.
Letbe a coordinated preinvex F∙I-V∙F withandThen, from-levels, we get the collection of I-V∙Fsare given byfor alland for all. Letwith , andwithbe two symmetric functions with respect toand, respectively. If Condition 1 forandholds, then following inequality hold:
Proof.
Since both is a coordinated preinvex F∙I-V∙F on , it follows that for functions, then by Lemma 1, there exist
Thus, from inequality (31), for each we have
and
The above inequalities can be written as
and
Multiplying (95) by and then integrating the resultant with respect to over , we have
Now, multiplying (96) by and then integrating the resultant with respect to over , we have
Since and then dividing (97) and (98) by and , respectively, we get
Now, from the left part of double inequalities (95) and (96), we obtain
and
Summing the inequalities (100) and (101), we get
Similarly, from the right part of (101) and (102), we can obtain
and
Adding (103)–(106) and dividing by 4, we get
Combing inequalities (99), (102), and (107), we obtain
That is
Hence, this concludes the proof. □
Remark 6.
If one takes, then from (94) we achieve (39).
If one takesand, then from (94), we acquire the following inequality, see [38]:
If one takes,and, then from (94), we acquire the inequality (59), see [38].
4. Conclusions
As an extension of convex fuzzy-interval-valued functions on coordinates, we have proposed the idea of fuzzy interval-valued preinvex functions in this article. For coordinated preinvex fuzzy interval-valued functions, we have created H–H-type inequalities. The product of two coordinated preinvex fuzzy-interval-valued functions was also examined, which are known as Pachpatte Type inequalities, as well as several new H–H-type inclusions. Other types of interval-valued preinvex functions on the coordinates may be included in the results produced in this study. Future work will explore fuzzy interval-valued fractional integrals on coordinates to study H–H-type and H–H–Fejér-type inequalities with the help of fuzzy-order relation for coordinated preinvex fuzzy interval-valued functions. We hope that the concepts and findings presented in this article will inspire readers to conduct more research.
Author Contributions
Conceptualization, M.B.K.; methodology, M.B.K.; validation, H.A., S.S.M.G. and A.A.A.; formal analysis, G.S.-G.; investigation, S.S.M.G.; resources, H.A.; data curation, A.A.A.; writing—original draft preparation, M.B.K., G.S.-G. and A.A.A.; writing—review and editing, M.B.K. and H.A.; visualization, A.A.A.; supervision, M.B.K. and S.S.M.G.; project administration, M.B.K.; funding acquisition, G.S.-G., S.S.M.G. and A.A.A. All authors have read and agreed to the published version of the manuscript.
Funding
The research of Santos-García was funded by the Spanish MINECO project TRACES TIN2015–67522–C3–3–R and the authors appreciate Taif University Researchers Supporting Project TURSP 2020/121, Taif University, Taif, Saudi Arabia for supporting this work.
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 and academic environments. The research of Santos-García was funded by the Spanish MINECO project TRACES TIN2015–67522–C3–3–R and the authors appreciate Taif University Researchers Supporting Project TURSP 2020/121, Taif University, Taif, Saudi Arabia for supporting this work.
Conflicts of Interest
The authors declare no conflict of interest.
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