Abstract
The decomposition integrals of set-valued functions with regards to fuzzy measures are introduced in a natural way. These integrals are an extension of the decomposition integral for real-valued functions and include several types of set-valued integrals, such as the Aumann integral based on the classical Lebesgue integral, the set-valued Choquet, pan-, concave and Shilkret integrals of set-valued functions with regard to capacity, etc. Some basic properties are presented and the monotonicity of the integrals in the sense of different types of the preorder relations are shown. By means of the monotonicity, the Chebyshev inequalities of decomposition integrals for set-valued functions are established. As a special case, we show the linearity of concave integrals of set-valued functions in terms of the equivalence relation based on a kind of preorder. The coincidences among the set-valued Choquet, the set-valued pan-integral and the set-valued concave integral are presented.
Keywords:
set-valued function; fuzzy measure; decomposition integral; choquet integral; pan-integral; concave integral MSC:
28C15; 46G12
1. Introduction
In [], Even and Lehrer introduced the decomposition integral based on a decomposition system and a capacity. In general, the different decomposition systems induce different decomposition integrals. The well-known nonlinear integrals, the Choquet integral, the concave integral, the pan-integral and the Shilkret integral, are based on the chains of sets, arbitrary finite set systems, finite partitions and singletons, respectively. The decomposition integral forms a general setting for these nonlinear integrals (see also [,]). In recent years, decomposition integrals have attracted more and more attention from researchers, and a lot of results have been obtained (see [,,,,,,,,,,]).
The above-mentioned decomposition integrals, including the Choquet, pan-, concave and Shilkret integrals, concern real-valued functions and number-valued capacities. As is well known, set-valued integrals for set-valued functions, such as the Aumann integral, the Debreu integral and others which are based on Lebesgue integrals, are extensions of classical integrals for number-valued functions and number-valued measures (see [,,]). Analogously to the idea of defining classical set-valued integrals, several types of integrals of set-valued functions based on nonlinear integrals have been introduced and discussed, such as set-valued fuzzy integrals [,,], set-valued Choquet integrals [,,], Gould-type integrals for multisubmeasures [,], Aumann–Pettis–Sugeno integrals [], etc. More studies on the topics of set-valued functions and integrals of set-valued functions have also appeared in [,,,,,,]. In particular, the Choquet integrals of set-valued functions have been deeply investigated (see [,,,,]), and the pan-integrals of set-valued functions have just been introduced and discussed in []. Noting that the decomposition integral forms a unified framework for the Choquet integrals, pan-integrals, concave integrals, etc., we naturally want to define a set-valued decomposition integral so that the previous set-valued integrals, such as the set-valued Choquet, the set-valued pan- and the set-valued concave integrals, become some special cases of set-valued decomposition integrals.
In this paper, we will define the decomposition integral of set-valued functions in a natural way (i.e., in a way similar to the integral of Aumann). This integral is an extension of a decomposition integral with respect to a capacity for real-valued functions. Analogously to the previous discussion of the set-valued Choquet and the set-valued pan-integral, we present some basic properties, positive homogeneity, monotonicity in the sense of inclusion relation, etc. We respectively investigate the monotonicity of the set-valued decomposition integral in the sense of two preorders: a kind of preorder on the class of all nonempty sets of and another kind of preorder on the set of all decomposition systems. By using the monotonicity, we will establish the Chebyshev inequality of the set-valued decomposition integral, and as special cases, Chebyshev’s inequality of the set-valued Choquet, pan-, concave and Shilkret integrals is also presented. Under the conditions of subadditivity, submodularity and the (M)-property of fuzzy measures, the coincidences among the set-valued pan-integral, set-valued Choquet integral and set-valued concave integral are shown, respectively.
2. Preliminaries
Let denote a measurable space, i.e., is a nonempty set and is a -algebra of subsets of .
2.1. Fuzzy Measures
A set function is called a fuzzy measure ([,]) on if (1) and (2) whenever , .
A fuzzy measure is also known as “capacity” (in the case of ) [,], “monotone measure” [,], “non-additive measure” [,], “non-additive probability”, etc.
Let denote the set of all fuzzy measures defined on .
A fuzzy measure is called subadditive [,] if whenever ; superadditive [,], if whenever and .
2.2. Decomposition Integrals
A collection from is a finite nonempty subset of . A decomposition system on is a nonempty set of collections from . Let denote the set of all decomposition systems on .
In [], Even and Lehrer introduced the decomposition integral (see also []).
Let denote the set of all non-negative real-valued -measurable functions on and be the characteristic function of .
Definition 1
(Even and Lehrer []). Given and . The mapping , defined by
is called a decomposition integral with respect to and κ.
A decomposition integral depends on a decomposition system and a fuzzy measure . There are four common decomposition integrals: the Choquet integral, the pan-integral (with respect to the pair of standard addition and multiplication ), the concave integral and the Shilkret integral. They are based on the chains of sets, finite partitions, arbitrary finite set systems and singletons, respectively.
We denote, respectively, by , and the sets of all finite chains, all families of finite sets and singletons in , and by the set of all finite measurable partitions of X.
Example 1.
Given and let .
(i) The decomposition integral is the Choquet integral ([,]) of h with respect to μ, i.e.,
(ii) The decomposition integral is the concave integral of h with respect to μ (Lehrer [,,]).
(iii) The decomposition integral is the pan-integral of h with respect to μ, see [], i.e.,
(iv) The decomposition integral is the Shilkret integral of h with respect to μ, i.e., ([,]).
For the convenience of discussion, and to not confuse the symbols with set-valued integrals, we still use common symbols, denoting, respectively, by , , and the integrals , , and of the real-valued integrals.
Let . h be called -integrable with respect to if . We denote .
For more details concerning non-additive measures and integrals, see [,,,,,,,,].
2.3. Set-Valued Maps
We recall some basic definitions dealing with set-valued maps [,].
We denote , , , , and denote by , and the families of all nonempty closed, compact and compact convex sets of , respectively.
Let . The sum of and is defined by
and the scalar multiplication of k and is the set defined by
The classes , and are closed under the operations of addition and scalar multiplication, respectively [].
The preorder of and , denoted by , means that for each , there is such that , and for each , there is such that ([], see also [,,]). Moreover, we define a relation “≈” on : iff and . The relation “≈” is an equivalence relation.
A set-valued function is a mapping . We denote
where . The set-valued function F is called measurable with respect to (short for measurable) if, for all closed subsets , (see []). The set-valued function F is said to be closed-valued if its values are closed subsets of , i.e., . We denote by the class of all closed-valued functions defined on . For more discussions of the measurability of closed-valued functions, refer to [,].
Let G be a set-valued function defined on and . If for all , holds, then g is called a measurable selection of G. If , then G has at least one measurable selection ([]).
In the following, we present the operations and orders of set-valued functions on ([]). Let , .
(1) for any ;
(2) for any ;
(3) iff for any .
(4) iff for any .
Let , . We define
then , and for any , , it holds that , i.e., for every .
3. Set-Valued Decomposition Integrals of Set-Valued Functions
In this section, we define the decomposition integrals of set-valued functions with respect to fuzzy measures and present some of their properties.
3.1. Definition of Set-Valued Decomposition Integrals
Definition 2.
Given and , let . The set-valued decomposition integral of G with respect to the fuzzy measure κ on Ω (short for decomposition integral of G) is defined by
where .
When we take and , respectively, then the set-valued decomposition integral goes back to the set-valued Choquet integral [,,] and the set-valued pan-integral [], respectively. In the following section, we will discuss the set-valued concave integral.
Given and , the set-valued function G is called -integrable with respect to κ if ; it is -integrably bounded with respect to κ if there is , i.e., and , such that
holds for all .
Note that is a measurable function on [], and for every , , is a nonempty closed set; therefore, is a measurable selection of G and .
3.2. Basic Properties of Set-Valued Decomposition Integrals
The set-valued decomposition integral is positive-homogeneous for any and .
Proposition 1.
Let and , and be -integrable with respect to κ. Then, for all ,
Proposition 2.
Let and , and be -integrable with respect to κ. Then, for any ,
where .
Proposition 3.
Given and , let be -integrably bounded with respect to κ. Then,
(1) G is -integrable with respect to κ;
(2) For every , is a bounded closed set of , i.e., ;
(3) For any measurable selection f of G, g is -integrable with respect to κ, i.e., . In particular, ;
(4) is a bounded set in ;
(5) There exists a sequence, , such that for every (i.e., a representation of F by measurable selections).
Proof.
(1) implies that there is a measurable selection g of G, i.e., and for all . G is -integrably bounded with respect to , so there is a and , such that holds for all . This implies that , and hence . Therefore, from , i.e., G is -integrable with respect to .
(2) For a given , it follows from that is a bounded closed set of .
(3) From for all , and , then .
(4) For any , there is and on , such that . This shows that is a bounded set in .
(5) For , there is a sequence of measurable selection of G such that holds for every (see []). This implies that for every , holds for every . Since is -integrably bounded with respect to , and based on the above (3), then for every , . □
3.3. Monotonicity of Set-Valued Decomposition Integrals
In this subsection, we present several versions of monotonicity of set-valued decomposition integrals.
The following result is clarified by Definition 2.
Proposition 4.
Let be -integrable with respect to κ. Then,
The following is a version of monotonicity of set-valued decomposition integrals with respect to the preorder relation “⪯”.
Proposition 5.
Given and , let be -integrably bounded with respect to κ. Then
Proof.
Suppose . For any , we prove that there is such that . From the definition of set-valued decomposition integrals (Definition 2), there is and on such that . Thus, by the condition , for every , there is such that . Since H is -integrably bounded with respect to , then the function
is a measurable selection H, i.e., for every , and . We take , then . Noting that for every , , then
Similarly, we can prove that for any , there is such that .
We obtain . □
The following is an immediate consequence of Proposition 5.
Corollary 1.
Given and , let be -integrably bounded with respect to κ. Then
There are two kinds of relations for decomposition systems from : “⊆”—the standard-set inclusion relation; and “⊑”—the preorder relation (see []: for , “” means that for each , there is such that ). Moreover, we define a relation “”: for , if and . The relation “” is an equivalence relation on the space .
Obviously, for any , implies , but not vice-versa. If or , then for any , it holds that [] (see also []).
For the relations “⊑”, “⊆” and “⪯”, we present some results in the following.
Proposition 6.
Let be fixed, let and be both -integrably bounded and -integrably bounded with respect to κ. Then
Proof.
For any , there is and on , such that . The condition implies that ([]). Since is -integrably bounded with respect to and , it follows from Proposition 3(3) that . Denote , then and .
It is similar to prove that for any , there is such that . □
Corollary 2.
Under the assumption of Proposition 6, the following statement is true:
From Proposition 6 and noting that implies ([]), we obtain the following result.
Corollary 3.
Under the assumption of Proposition 6, the following statement is true:
Note that since and , we have the following result.
Proposition 7.
Let be fixed and let be -, -, - and -integrable with respect to κ, respectively. Then
and
Remark 1.
Note that the above discussions only concern two kinds of relations for decomposition systems from : “⊆” and “⊑”. There are also other preorders on the class of decomposition systems, see, e.g., [,,]. Similarly, we can discuss the monotonicity of set-valued decomposition integrals in the sense of these preorders.
3.4. Chebyshev’s Inequality of Set-Valued Decomposition Integrals
The Chebyshev inequality is an important inequality in classical measures and integrals [], which is stated as follows: for any and , it holds that
where m is a -additive measure and the integral on the right side is the Lebesgue integral.
In [], Kang and Li established Chebyshev’s inequality for decomposition integrals as follows:
Proposition 8
(Kang and Li []). Let be complete. Then, for any and , it holds that
Now, we extend the above result to the case of set-valued decomposition integrals. We present a version of Chebyshev’s inequality for set-valued decomposition integrals.
We introduce some notations that will be used in establishing the Chebyshev inequality.
Let and . When is a single point set, we use the notation “” to denote the order relation (i.e., for any ). We denote as all (when , denote as for short). We use the notation “” to denote the order relation (i.e., for any , ), and for given , the notation “” denotes (i.e., holds for any ).
The complete decomposition system [] plays an important role in the discussion of the decomposition integrals. Let . The decomposition system is called complete [], if for each there exists such that
Proposition 9.
and are finite, and let be -integrable with respect to κ. If is complete, then for any with , it holds that
where for all .
Proof.
In [], it is shown that is complete if and only if
holds for any . From Proposition 2, we have , and hence
which is the inequality (12). □
Proposition 10
(Chebyshev’s inequality). Let be complete and . Then, for any which is -integrably bounded with respect to κ, and , it holds that
where means that for a given , .
Proof.
Note that the decomposition systems and are all complete. As a special result of Proposition 10, we obtain the following corollary.
Corollary 4.
Let be finite and . If is -integrably bounded with respect to κ, then
where stands for , , or , respectively.
Remark 2.
In [] (see also []), Guo and Zhang proposed the set-valued fuzzy measure. A set-valued function is called a set-valued fuzzy measure on if it holds that
(1) ;
(2) For any , implies .
Let and be -integrably bounded with respect to κ. Define
Then, is a set-valued fuzzy measure on . In fact, . Note that for any , implies . Therefore, implies
from Proposition 5, i.e., .
4. Concave Integrals
In this section, we recall the concave integral ([,], see also []), and show some special properties of set-valued concave integrals.
Let be fixed and let .
The concave integral of h on with respect to is defined by
If , then h is called concave-integrable.
The concave integral , as a functional from to , is positive-homogeneous and concave (Lehrer and Teper []).
Proposition 11.
Let be fixed, For any , we have
When is subadditive, the concave integral is positive linear on (Ouyang et al. []).
Proposition 12.
Let be subadditive, . Then
For more basic properties of concave integrals, see [,,,,,].
From Propositions 11 and 12 and similar to the proof of Proposition 4.2 in [], it is not difficult to obtain the corresponding result for set-valued concave integrals as follows:
Proposition 13.
Given , let be -integrably bounded with respect to κ and . Then
Furthermore, if κ is subadditive, then
in particular,
Proposition 14.
Let be subadditive and G be concave integrable. Then is convex whenever G is convex-valued (i.e., for every , is a convex set of ).
Proof.
Suppose that . Then there are such that and . These imply that for every and . Since G is convex-valued, . Thus, it follows from the subadditivity of and Proposition 12 that
Therefore, , and hence
This shows that is convex. □
5. Relationships of the Set-Valued Choquet, the Set-Valued Pan-Integral and the Set-Valued Concave Integral
In this section we discuss the coincidences among three kinds of set-valued decomposition integrals: the set-valued Choquet, the set-valued pan-integral and the set-valued concave integral.
We recall two concepts which play important roles in the discussion of concidences of the pan-, Choquet and concave integrals (see [,]). Let . is said to have (M)-property, if for any and , there is such that , and and (Mesiar et al. []). is called submodular (or concave) if holds for any .
We recall the following results ([,,], see also [,]).
Proposition 15.
Let be fixed.
(1) κ is submodular if and only if
for all ([]).
(2) If κ is subadditive, then
holds for all ([]).
(3) If κ has (M)-property, then
holds for all ([]).
In the following, we show, respectively, the equivalence among the set-valued pan-integral, the set-valued Choquet integral and the set-valued concave integral.
Proposition 16.
Let be fixed. If κ is submodular, then
holds for any that is -integrable and -integrable with respect to κ.
Proof.
Suppose . Then there is such that . Note that and on , from Proposition 15, then and hence , and on , i.e., . Therefore , which implies
Similarly, we can obtain the converse relationship. □
Similarly, we can obtain the coincidences of the set-valued concave integral and the set-valued pan-integral, and of the set-valued pan-integral and the set-valued Choquet integral.
Proposition 17.
Let be fixed. If κ is subadditive, then
holds for any set-valued random variables that are -integrable and -integrable with respect to κ.
Proposition 18
([]). Let be fixed. If κ has (M)-property, then
holds for any set-valued random variables that are -integrable and -integrable with respect to κ.
In Section 3.3, we have shown that
and
where is fixed and is -, -, - and -integrable with respect to , respectively.
In general, for some , and are incomparable.
We recall the relationships between the Choquet integral and the pan-integral (see []).
Proposition 19.
Let be fixed.
(1) If κ is subadditive, then for all , .
(2) If κ is superadditive, then for all , .
The following result is an extension of Proposition 19 in the case of the set-valued pan-integral and the set-valued Choquet integral.
Proposition 20.
Let be fixed and .
(1) If κ is subadditive and G is -integrably bounded with respect to κ, then
(2) If κ is superadditive and G is -integrably bounded with respect to κ, then
Proof.
(1) was proved in []. We prove (2).
Suppose . Then there is such that and on . Since G is -integrably bounded with respect to , from Proposition 3, implies g is Choquet-integrable with respect to , i.e., . Take , then and from Proposition 19 we have .
On the other hand, suppose . Then there exists such that and on . Note that is superadditive, and hence . We take , then and .
The inequality (25) is shown. □
6. Remarks
(1) In [], Stupňanová introduced a special type of decomposition integral, the PC-integral, based on the so-called PC decomposition system in which the collection includes pairwise disjoint sets and chains of sets. The PC-integral locates between the concave integral and the Choquet integral, and also between the concave integral and the pan-integral. We can consider the PC-integrals of set-valued functions in terms of Stupňanová’s work and obtain some special properties.
(2) In [], Mesiar et al. introduced a new type of decomposition integral by using a family of decomposition integrals based on the collections relating to partitions and maximal chains of sets. This new integral extends the Lebesgue integral, and it is different from those well-known decomposition integrals, such as the Choquet, concave, pan- and Shilkret integrals and the PC-integral. As a special case of Definition 2, we can obtain the set-valued integrals in terms of Mesiar’s work.
(3) Note that Šeliga introduced the decomposition integrals for interval-valued functions and dealt with some basic properties of special set-based functions, see [,].
7. Conclusions
We have introduced the decomposition integral of set-valued functions and shown some basic properties. The interesting results are the monotonicity of the integrals in the sense of the preorder relations “⊑” and “⪯” and the inclusion relation “⊆” (Propositions 4–6, and Corollaries 2 and 3), and Chebyshev’s inequality for decomposition integrals of set-valued functions (Proposition 10 and Corollary 4). The relationships among three types of important set-valued decomposition integrals—set-valued Choquet integral, the set-valued pan-integral and the set-valued concave integral—have been shown (Propositions 16–18 and 20).
As we have seen, the set-valued decomposition integral is an extension of the decomposition integral for real-valued functions, and it unifies the previous set-valued integral schemes, including the Aumann integral [], the set-valued Choquet integral ([,]), the set-valued pan-integral ([]) and the set-valued concave integral, etc.
In further research, we will focus on the study of the convergence of decomposition integrals of set-valued functions.
As is well known, the set-valued integral is very applicable in several mathematical fields, especially in control theory, mathematical economics, statistics, etc. We expect the decomposition integrals of set-valued functions to be a useful tool in these fields.
Author Contributions
L.Y.: writing—original draft preparation, investigation. T.K.: conceptualization, methodology, validation. H.Z.: supervision. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the National Natural Science Foundation of China (Grant No. 42074108 and No. U2239207), the National Key R&D Program of China (Grant No. 2020YFA0713401) and the Fundamental Research Funds for the Central Universities.
Data Availability Statement
Not applicable.
Acknowledgments
The authors would like to thank the three anonymous reviewers for their valuable comments and suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
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