Fell拓扑,Choquet容量和遍历的Choquet容量系统（英文）

本文描述了Fell拓扑的结构与收敛条件,重新确立了关于随机集的Choquet定理在概率论中的重要作用,并提出了不变Choquet容量的概念.此外,利用环面上的双曲自同构和随机映射,具体构造了一个遍历的Choquet容量系统,且进一步探讨了这种系统的动力性态.     

Lebesgue—Stieltjes形式的Choquet积分

首先利用Lebesgue-Stieltjes测度对Choquet积分作了推广,给出了实值可测函数的Lebesgue-Stieltjes形式的Choquet积分的定义,研究了其相应的性质;其次,本文在一定条件下研究了Lebesgue-Stieltjes形式的Choquet积分和Choquet积分的关系,得到了积分转化定理.     

Lebesgue-Stieltjes形式的Choquet积分Ⅱ

研究了Lebesgue-Stieltjes形式的Choquet积分的收敛性定理,如单调收敛定理、法都引理、控制收敛定理等.     

对数凸函数的Choquet积分

本文研究了对数凸函数的Choquet积分的上界和下界。首先,对于连续可微的对数凸函数,当其单调时,研究了其Choquet积分的Hadamard不等式;当其不单调时,分别在扭曲勒贝格测度和非可加测度下,研究了其Choquet积分的上界。接着,在非可加测度是凹的情形下,给出了对数凸函数的Choquet积分的詹森不等式,并举例说明其可用来估计Choquet积分的下界。     

F值Choquet积分(Ⅰ)--F值函数关于F测度的Choquet积分[(

本文为取值于F数的Choquet积分系列之一,探讨了F值函数关于F测度的Choquet积分.我们以区间分析为工具,在定义区间值函数Choquet积分的基础上,给出了F值函数Choquet积分的定义,得到了各种性质和收敛定理.     

F值Choquet积分（I）：F值函数关于F测度的Choquet积分

本文为取值于F数的Choquet积分系列之一,探讨了F值函数关于F测度的Choquet积分。我们以区间分析为工具,在定义区间值函数Choquet积分的基础上,给出了F值函数Choquet积分的定义,得到了各种性质和收敛定理。     

集值Choquet积分的性质

集值Choquet积分,即集值随机变量关于容度的积分,可以用来描述现实生活中许多复杂的不确定现象。给出集值Choquet积分的基本性质;接着在Choquet可积有界的集值随机变量空间中,证明集值Choquet积分仍然保持单调性和次可积性;并且给出集值Choquet积分的Hausdorff距离满足的不等式。     

基于r-凸函数的Choquet积分不等式

本文研究了r-凸函数的Choquet积分的Hadamard不等式和詹森不等式。首先,针对单调r-凸函数,研究了其Choquet积分的类似Hadamard型不等式;接着,分别在扭曲勒贝格测度和非可加测度下,估计了r-凸函数的Choquet积分的上界;最后,在非可加测度是凹的情形下,给出了两个r-凸函数的Choquet积分的詹森不等式,其可用来估计Choquet积分的下界。另外,在扭曲勒贝格测度下,对文中所有结果进行了例证。     

Choquet积分的收敛定理

Murofushi、Sugeno等学者已对关于模糊测度的Choquet积分进行了详细的研究,但关于积分的收敛理论是不够的。本文讨论这一问题,给出Choquet积分的一些收敛定理,包括广义单调收敛定理、Fatou引理等。从中可以看出,Choquet积分与Sugeno模糊积分具有相同的收敛定理。     

三角毕达哥拉斯模糊Choquet积分算子及其应用

针对属性值为三角毕达哥拉斯模糊数且属性之间相互关联的多属性决策问题,将三角毕达哥拉斯模糊集与Choquet积分相结合,提出了三角毕达哥拉斯模糊Choquet积分平均算子(TPFCA)和三角毕达哥拉斯模糊Choquet积分几何算子(TPFCG),给出其计算公式;然后又研究了算子的性质:幂等性、单调性、有界性等;最后将三角毕达哥拉斯模糊Choquet积分算子用于多属性决策中,提出了基于三角毕达哥拉斯模糊Choquet积分算子的多属性决策方法,并且通过实例说明这些算子的有效性.     

关于连续变换的遍历性质的一些注记

设(X,d)是一个紧的距离空间,T是(X,d)上的连续变换.利用平均遍历定理证明了:对任意的x∈X,1/n sum from i=0 to n-1 f(T~i x)在C(X)上收敛.该结果是连续变换的Birkhoff型个别遍历定理的推广.由此结果研究了T的其它遍历性质,特别,不依赖深刻的Choquet积分表示定理,给出了遍历分解定理的一个较为简单而直接的证明.     

Entropy of bi-capacities

In the context of multicriteria decision making whose aggregation process is based on the Choquet integral, bi-capacities can be regarded as a natural extension of capacities when the underlying evaluation scale is bipolar. The notion of entropy, recently generalized to capacities to measure their uniformity, is now extended to bi-capacities. We show that the resulting entropy measure has a very natural interpretation in terms of the Choquet integral and satisfies many natural properties that one would expect from an entropy measure.     

On concavity and supermodularity

Concavity and supermodularity are in general independent properties. A class of functionals defined on a lattice cone of a Riesz space has the Choquet property when it is the case that its members are concave whenever they are supermodular. We show that for some important Riesz spaces both the class of positively homogeneous functionals and the class of translation invariant functionals have the Choquet property. We extend in this way the results of Choquet [G. Choquet, Theory of capacities, Ann. Inst. Fourier (Grenoble) 5 (1953-1954) 131-295] and König [H. König, The (sub/super) additivity assertion of Choquet, Studia Math. 157 (2003) 171-197].     

Elliptic operators and Choquet capacities

Choquet capacities generated by solutions of certain elliptic partial differential equations are discussed. Bibliography: 11 titles.     

On the Choquet integrals associated to Bessel capacities

Czechoslovak Mathematical Journal - We characterize the Choquet integrals associated to Bessel capacities in terms of the preduals of the Sobolev multiplier spaces. We make use of the boundedness...     

A minimal 0–1 subshift with noncompact set of ergodic measures

Summary By a minimal 0–1 subshift we mean a pair (X, S), where S denotes the left shift on C={0, 1}^z and X is a minimal compact S-invariant subset of C. Developing some of the methods of Williams [2] of obtaining not uniquely ergodic minimal subshifts we construct such a subshift, for which the set of all ergodic measures is noncompact for the weak^* topology. In other words, the Choquet simplex of all invariant measures of the subshift is not a Bauer simplex.     

拟必然分析概述

经典的几乎必然分析研究的是随机变量和或机过程除去概率为零的集合以外的性质，容度的概念起源于电学，其严格的数学理论由Ｎ．Ｗｉｅｎｅｒ及Ｇ．Ｃｈｏｑｕｅｔ所发展，８０年代Ｐ．Ｍａｌｌｉａｖｉｎ建立了Ｗｉｅｎｅｒ空间上的非线性容度理论，拟必然分析便是研究除去零容集以外成立的性质的理论，本文概述了了这一理论的发展和现状。     

广义拟容量的C-右连续性

本文探讨广义容量的性质,得到如下结果：（a）具有C-右连续,即关于紧集连续的凸拟容量是凸容量;（b）一大类广义容量具有C-右连续性;（c）凸拟容量的准上积分是凸Choquet容量．此外,给出具有C-右连续性的弱拟容量的可容性定理．本文还利用上述结果研究调和空间上正超调和函数的缩减函数和扫除函数．     

Faces of simplexes of invariant measures

This paper is a direct continuation of [D2]. The main result proved here, combined with Theorem 1 of [D2] widens the variety of known possibilities of what the simplex of invariant measures in a minimal topological dynamical system can be. We show that it can be equivalent, modulo affine homeomorphism of Choquet simplexes and modulo isomorphisms of the ergodic measures playing the role of the extreme points, to any face of the simplex of invariant measures of any zero-dimensional topological dynamical system, as long as this face contains no periodic measures. In particular, this implies that any formal simplex spanned by any choice of countably many nonperiodic ergodic measures can be realized in a minimal system. The first draft of this paper was written during the author’s the author’s visit at Université Paris 6. Research supported from resources for science in years 2005–2008 as research project (grant MENII 1 P03A 021 29, Poland)     

Generalized triangular fuzzy correlated averaging operator and their application to multiple attribute decision making

We investigate the multiple attribute decision making problems with triangular fuzzy information. Motivated by the ideal of Choquet integral [G. Choquet, Theory of capacities, Ann. Instit. Fourier 5 (1953) 131–295] and generalized OWA operator [R.R. Yager, Generalized OWA aggregation operators, Fuzzy Optim. Dec. Making 3 (2004) 93–107], in this paper, we have developed an generalized triangular fuzzy correlated averaging (GTFCA) operator. The prominent characteristic of the operators is that they cannot only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have applied the GTFCA operator to multiple attribute decision making problems with triangular fuzzy information. Finally an illustrative example has been given to show the developed method.