Abstract
In this note, the convergence of the sum of two convergent sequences of measurable functions is studied by means of two types of absolute continuity of fuzzy measures, i.e., strong absolute continuity of Type I, and Type VI. The discussions of convergence a.e. and convergence in measure are done in the general framework relating to a pair of monotone measures, and general results are shown. The previous related results are generalized.
1. Introduction
In fuzzy measure and fuzzy integral theory, many results in the classical measure theory no longer hold generally without additional conditions for fuzzy measures. For example, for Lebesgue measurable functions sequences and , we have
and
where m is the Lebesgue measure and the convergence concerns convergence almost everywhere and convergence in measure [1,2]. However, for a fuzzy measure , in general, the above Equations (1) and (2) may not be true.
The above Equations (1) and (2) were generalized to fuzzy measure spaces under the conditions of weak null-additivity and pseudometric generating property of set functions [3].
In this note, we consider a pair of fuzzy measures and defined on the same measurable space . Under the condition of strong absolute continuity of Type I (resp. strong absolute continuity of Type VI), we obtain the following result:
2. Preliminaries
Let be a measurable space, i.e., X is a nonempty set and is a -algebra of subsets of X. Let denote the collection of all -measurable functions (such a function f is also called a fuzzy set on X). The symbols and denote logical addition and logical multiplication (i.e., for any , , and ), respectively.
2.1. Fuzzy Measures and Integrals
A fuzzy measure on is a real valued set function satisfying the conditions: (FM1) and ; (FM2) whenever and (see [6,7]).
A fuzzy measure is also known as “non-additive measure”, “capacity”, “monotone measure”, “non-additive probability”, etc (see [8,9,10,11]).
Let denote the set of all fuzzy measures defined on . For , let denote the order pair of and , i.e., .
We recall fuzzy integral [6] (it is also called Sugeno integral, see [12,13]).
Let . The fuzzy integral of f on X with respect to , is defined by
For , we define (S), where is the characteristic function of A.
Note that the Sugeno integral is a special kind of nonlinear integral.
We define the conjugate of by
Then and .
2.2. Convergence of Sequence of Measurable Functions
Let and (). We say that
(1) converges almost everywhere to f on X with respect to μ, and denote it by , if there is a subset such that and on ;
(2) converges pseudo-almost everywhere to f on X with respect to μ, and denote it by , if there is a subset such that and on ;
(3) converges to f in measure μ (resp. pseudo-in measure μ) on X, denoted by (resp. ), if for any , (resp. ).
Proposition 1.
Let . Then
if and only if
if and only if .
2.3. Absolute Continuity of Fuzzy Measures
We recall several types of absolute continuity of fuzzy measures.
Definition 1.
[14] Let . We say that
(1) λ is absolutely continuous of Type I with respect to ν, denoted by , if for any , we have
(2) λ is absolutely continuous of Type with respect to ν, denoted by , if for any , we have
Inspired by the concepts of weak null-additivity and pseudometric generating property of set functions we generalized the above two types of absolute continuity, i.e., Type I and Type (see [3]). Let us first recall weak null-additivity and pseudometric generating property of fuzzy measures.
Let . (1) is called weakly null-additive [11,15], if for any , we have
(2) is called to have pseudometric generating property (briefly, ()) [4,16], if for any sequences and , we have
Definition 2.
(Li et al. [3]) Let . We say that
(1) λ is strongly absolute continuous of Type I with respect to ν, denoted by , if
(2) λ is strongly absolute continuous of Type with respect to ν, denoted by , if for any sequences and , we have
Note: Comparing Equation (10) with Equation (8), and Equation (11) with Equation (9), respectively, we have (1) if and only if is weakly null-additive, and (2) if and only if has pseudometric generating property.
Proposition 2.
Let .
(1) If , then .
(2) If , then .
(3) implies , and implies .
The inverse statements in (1), (2) and (3) may not hold.
3. Main Results
The following Theorems 1–3 are our main results.
Theorem 1.
Let . Then, we have
(1) for all and all ,
if and only if ;
(2) for all and all ,
if and only if .
Proof.
From Definition 1 it is easy to obtain the conclusions. □
Theorem 2.
Let . Then the following are equivalent:
(1) ;
(2) for all and all , , we have
(3) for all and all , , we have
Proof.
. If and , then there exist with such that on and on . Since , we have . Noting that on , therefore
. Let and . Denote and , where and are the characteristic functions of P and Q, respectively. It follows from and that So .
. The proof is similar. □
Theorem 3.
Let . Then the following are equivalent:
(1) ;
(2) for all and all , , we have
(3) for all and all , , we have
Proof.
. Suppose that and . For any given , we denote
and
Then
Since and , we have
Therefore, from , we have
Hence it is clear that
This shows that
. If and , then
Noting that , for any we have
So
This shows .
. For any with , we define measurable function sequences and by
and
n = 1, 2,..., then and . Thus, . Therefore for , we have
Noting , we have
So
Thus we have . □
When we take , and , respectively, and combine Proposition 1, then the previous results obtained in [3] (Li et al.) are recovered by Theorems 2 and 3, respectively.
Corollary 1.
([3], Theorem 1) Let . Then,
(1) (i.e., μ is weakly null-additive) if and only if for any ,
(2) (i.e., is weakly null-additive) if and only if for any ,
(3) if and only if for any ,
(4) if and only if for any ,
Corollary 2.
([3], Theorem 2) Let . Then,
(1) (i.e., μ has ()) if and only if for any ,
(2) (i.e., has ()) if and only if for any ,
(3) if and only if for any ,
(4) if and only if for any ,
In the following we discuss fuzzy measures defined by fuzzy integral.
Given and . Then the Sugeno integral of h with respect to determines a new fuzzy measure , as follows:
Proposition 3.
(1) , and ; (2) ; (3) If ν is continuous from below, then .
As a direct result of Proposition 3 and Theorems 2 and 3, we have the following corollary.
Corollary 3.
Let . Then,
(1) for all and all , , we have
(2) for all and all , , we have
Furthermore, if ν is continuous from below, then
(3) for all and all , , we have
(4) for all and all , , we have
4. Conclusions
We have shown the equivalences between the convergence (a.e. or in measure) of the sum of two convergent sequences of measurable functions and several types of absolute continuity of fuzzy measures. The main results are Theorems 1–3. The characteristics of strong absolute continuity of Type I and Type VI of fuzzy measures have been described by using convergence of sequence of measurable functions. As we have seen, such descriptions were done in a more general context concerning a pair of monotone measures, the previous related results [3,15] become to be some special cases of our new results.
In our discussions we only involved theoretical methods, not presenting a specific application instance. In further research, we will focus on the application of these methods. For instance, we will generalize convergence in measure theorems of nonlinear integrals [17,18] in the general framework concerning a pair of monotone measures, and discuss the linearity of pan-integrals and concave integrals [19,20], our results will be useful.
Funding
This work was supported by the National Natural Science Foundation of China (Grants No. 11571106 and No. 11371332), and the Fundamental Research Funds for the Central Universities.
Acknowledgments
The author is grateful to the referees for their valuable comments for improvements.
Conflicts of Interest
The author declares no conflict of interest.
References
- Berberian, S.K. Measure and Integration; Macmillan: New York, NY, USA, 1965. [Google Scholar]
- Halmos, P.R. Measure Theory; Van Nostrand: New York, NY, USA, 1968. [Google Scholar]
- Li, J.; Mesiar, R.; Zhang, Q. Absolute continuity of monotone measure and convergence in measure. Commun. Comput. Inf. Sci. (CCIS)) 2010, 80, 500–504. [Google Scholar]
- Li, J.; Yasuda, M.; Jiang, Q.; Suzuki, H.; Wang, Z.; Klir, G.J. Convergence of sequence of measurable functions on fuzzy measure space. Fuzzy Sets Syst. 1997, 87, 317–323. [Google Scholar] [CrossRef]
- Li, J.; Mesiar, R.; Pap, E.; Klement, E.P. Convergence theorems for monotone measures. Fuzzy Sets Syst. 2015, 281, 103–127. [Google Scholar] [CrossRef]
- Sugeno, M. Theory of Fuzzy Integrals and Its Applications. Ph.D. Dissertation, Takyo Institute of Technology, Takyo, Japan, 1974. [Google Scholar]
- Torra, V.; Narukawa, Y.; Sugeno, M. (Eds.) Non-Additive Measure—Theory and Applications; Stud. Fuzziness Soft Comput.; Spinger: New York, NY, USA, 2014; Volume 310. [Google Scholar]
- Choquet, G. Theory of capacities. Ann. Inst. Fourier 1953, 5, 131–295. [Google Scholar] [CrossRef]
- Kawabe, J. Continuity and compactness of the indirect product of two non-additive measures. Fuzzy Sets Syst. 2009, 160, 1327–1333. [Google Scholar] [CrossRef]
- Pap, E. Null-Additive Set Functions; Kluwer: Dordrecht, The Netherlands, 1995. [Google Scholar]
- Wang, Z.; Klir, G.J. Generalized Measure Theory; Springer: New York, NY, USA, 2009. [Google Scholar]
- Klement, E.P.; Li, J.; Mesiar, R.; Pap, E. Integrals based on monotone set functions. Fuzzy Sets Syst. 2015, 281, 88–102. [Google Scholar] [CrossRef]
- Mesiar, R.; Stupnˇanová, A. Decomposition integrals. Int. J. Approx. Reason. 2013, 54, 1252–1259. [Google Scholar] [CrossRef]
- Wang, Z.; Klir, G.J. Fuzzy measures defined by fuzzy integral and their absolute continuity. J. Math. Anal. Appl. 1996, 203, 150–165. [Google Scholar] [CrossRef]
- Li, J.; Mesiar, M.; Wu, H. On weak null-additivity of monotone measures. Commun. Comput. Inf. Sci. (CCIS) 2012, 300, 278–285. [Google Scholar]
- Dobrakov, I.; Farkova, J. On submeasures II. Math. Slovaca 1980, 30, 65–81. [Google Scholar]
- Kawabe, J. Convergence in measure theorems of nonlinear integrals of functions integrable to the pth power. Fuzzy Sets Syst. 2019. [Google Scholar] [CrossRef]
- Kawabe, J. The Vitali convergence in measure theorem of nonlinear integrals. Fuzzy Sets Syst. 2020, 379, 63–81. [Google Scholar] [CrossRef]
- Ouyang, Y.; Li, J.; Mesiar, R. Coincidences of the concave integral and the pan-integral. Symmetry 2017, 9, 90. [Google Scholar] [CrossRef]
- Ouyang, Y.; Li, J.; Mesiar, R. On linearity of pan-integral and pan-integrable functions space. Int. J. Approx. Reason. 2017, 90, 307–318. [Google Scholar] [CrossRef]
© 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).