Fuzzy值可测函数及其构造

本文的目的是引入Fuzzy值可测函数的一般概念并着重讨论它的构造。为此,首先给出Fuzzy数度量空间的一些主要性质;然后建立Fuzzy数可测空间并提出Fuzzy值可测函数的一般定义;最后讨论Fuzzy值可测函数的九种等价构造。     

Fuzzy值函数项级数一致收敛的新定义

本文在文[3]的基础上,引进了Fuzzy值函数项级数的收敛及一致收敛的一种新定义。与文[4]相比,该定义的条件较弱,但所得结果却较强,且定理的证明更为简单。文中讨论了定义的合理性及优良性,给出了Fuzzy值函数项级数的一致收敛性的判别法;给出了Fuzzy值函数的连续性守恒,逐项微分,逐项积分定理。     

区间值函数与模糊值函数的无穷积分

[1]中推广了区间值函数积分的定义,建立了Fuzzy值函数积分的概念。本文正是在此基础上给出了无穷区间上区间值函数和Fuzzy值函数的定义,进一步给出了它们的积分的定义,以及积分收敛的性质定理和判定定理。     

基于结构元线性生成的复Fuzzy值函数项级数

文献[1]中提出了基于结构元理论的Fuzzy数项级数的概念,文献[2]、文献[3]、文献[4]对其收敛性进行了探讨,文献[5]、文献[6]对模糊值函数项数列及级数进行了研究。本文在此基础上给出了基于结构元线性生成的复Fuzzy值函数项数列及级数的定义,同时对复Fuzzy值函数项级数的一些重要性质进行了研究,并给出了相应定理。     

区间值函数和Fuzzy值函数的积分收敛

本文在[1]的基础上,定义了区间值函数与Fuzzy值函数的积分,给出有关积分收敛的一些结果。     

Fuzzy数测度的Radon—Nikodym导数

本文在推广[1]中R—Fuzzy值函数的积分的基础上,定义了Fuzzy数测度的R—N导数。并通过对Fuzzy数测度的研究,我们获得:①对有界凸Fuzzy值函数F,如果F(t)(x)关于x连续,则F必是某一Fuzzy数测度π的R—N导数。②如果Fuzzy数测度π关于有限非负测度γ绝对连续,则π存在R—N导数。     

Fuzzy值函数项级数的一致收敛性

本文是引文[1,2]的继续。本文引入了Fuzzy值函数项级数的收敛和一致收敛的概念;给出了Fuzzy值函数项级数的一致收敛的判别法;研究了Fuzzy值函数项级数的和函数的连续性与Fuzzy值函数项级数的逐项求导和逐项积分问题。     

格测度空间的表现与积分

无论是经典的测度,还是近年来模糊数学中定义的各种测度,其可测空间实质上都是Fuzzy格上的一个子集。受王国俊先生的拓扑分子格理论的启发,我们在格上考虑可测空间,随后定义测度与积分,对上面所提的诸种测度空间及积分进行推广与统一。本文在无特別说明时,所涉及的格L(≤,∨,∧,’)均表示Fuzzy格,L中的最大元与最小元分別以I和θ来表示。有关分子、原子、极小集等概念可参见[1]—[5]。     

复模糊集值复模糊测度空间上的可测函数及其性质

以改进的实可测函数的概念,借用新定义的模糊实数值可测函数概念,进一步将模糊测度与模糊可测函数概念扩展到更广泛的复模糊集上,给出复模糊集值复模糊可测函数概念,研究复模糊集值复模糊测度空间上的可测函数的性质,讨论了复模糊集值复模糊可测函数在此定义下一些基本性质的遗传性,得到了复模糊集值复模糊可测函数的一些重要性质,这些性质实际上拓广了经典可测函数的相应结论。为进一步讨论复模糊集值复模糊积分的研究奠定基础。     

求可测函数的总体极小值方法的收敛性分析

[1]中提出了求解连续函数f(x)总体极小值的均值算法，并证明了算法的全局收敛性．若假设f(t)是定义在某可测集G上的可测函数，本证明了均值算法产生的迭代序列全局收敛到f(t)的本质极小值，若进一步假设函数f(t)满足测度Lipschitz条件，还证明了求可测函数的均值算法是线性收敛的．     

A type of fuzzy ring

In this study, by the use of Yuan and Lee’s definition of the fuzzy group based on fuzzy binary operation we give a new kind of fuzzy ring. The concept of fuzzy subring, fuzzy ideal and fuzzy ring homomorphism are introduced, and we make a theoretical study their basic properties analogous to those of ordinary rings.      

Editorial

Linear programming problems with fuzzy parameters are formulated by fuzzy functions. The ambiguity considered here is not randomness, but fuzziness which is associated with the lack of a sharp transition from membership to nonmembership. Parameters on constraint and objective functions are given by fuzzy numbers. In this paper, our object is the formulation of a fuzzy linear programming problem to obtain a reasonable solution under consideration of the ambiguity of parameters. This fuzzy linear programming problem with fuzzy numbers can be regarded as a model of decision problems where human estimation is influential.     

Fuzzy addition in the L-fuzzy real line

Under the hypothesis L is a chain, we construct a binary operation ⊕ on the L-fuzzy real line $\text{R}$(L) which reduces to the usual addition on $\text{R}$ if ⊕ is restricted to the embedded image of $\text{R}$ in $\text{R}$(L), which yields a partially ordered, abelian cancellation semigroup with identity, and which is jointly fuzzy continuous on $\text{R}$(L). We show ⊕ is unique, i.e. it is the only extension of addition to $\text{R}$(L) which is consistent. We study the relationship between ⊕ and other fuzzy continuous extensions of the usual addition. We also show that fuzzy translation is a weak fuzzy homeomorphism and, under certain conditions, a fuzzy homeomorphism.     

n维模糊度量空间及其完备性

定义了n维模糊向量的模糊距离、n维模糊度量空间及其完备性的概念,实现了用R上的模糊数度量模糊向量间距离的目的,不仅使得模糊距离的度量更加合理、更加贴切,也创立一套独立于实数的模糊数学分析理论打下了基础。     

A New Form of Fuzzy Compact Spaces and Related Topics via Fuzzy Idealization

Fuzzy ideals and the notion of fuzzy local function were introduced and studied by Sarkar[12] and by Mahmoud in [9]. The purpose of this paper deals with a fuzzy compactness modulo a fuzzy ideal. Many new sorts of weak and strong fuzzy compactness have been introduced to fuzzy topological spaces in the last twenty years but not have been studied using fuzzy ideals so,the main aim of our work in this paper is to define and study some new various types of fuzzy compactness with respect to fuzzy ideals namely fuzzy L-compact and L*-compact spaces. Also fuzzy compactness with respect to ideal is useful as unification and generalization of several others widely studied concepts. Possible application to superstrings and E∞ space-time are touched upon.     

群,环上的Fuzzy关系

一些学者已对群和环上的Ｆｕｚｚｙ关系进行了研究，本文进一步研究了群、环上的Ｆｕｚｚｙ关系，得出了若干重要的结论。     

Toward extended fuzzy logic—A first step

Fuzzy logic adds to bivalent logic an important capability—a capability to reason precisely with imperfect information. Imperfect information is information which in one or more respects is imprecise, uncertain, incomplete, unreliable, vague or partially true. In fuzzy logic, results of reasoning are expected to be provably valid, or p-valid for short. Extended fuzzy logic adds an equally important capability—a capability to reason imprecisely with imperfect information. This capability comes into play when precise reasoning is infeasible, excessively costly or unneeded. In extended fuzzy logic, p-validity of results is desirable but not required. What is admissible is a mode of reasoning which is fuzzily valid, or f-valid for short. Actually, much of everyday human reasoning is f-valid reasoning.f-Valid reasoning falls within the province of what may be called unprecisiated fuzzy logic, FLu. FLu is the logic which underlies what is referred to as f-geometry. In f-geometry, geometric figures are drawn by hand with a spray pen—a miniaturized spray can. In Euclidean geometry, a crisp concept, C, corresponds to a fuzzy concept, f-C, in f-geometry. f-C is referred to as an f-transform of C, with C serving as the prototype of f-C. f-C may be interpreted as the result of execution of the instructions: Draw C by hand with a spray pen. Thus, in f-geometry we have f-points, f-lines, f-triangles, f-circles, etc. In addition, we have f-transforms of higher-level concepts: f-parallel, f-similar, f-axiom, f-definition, f-theorem, etc. In f-geometry, p-valid reasoning does not apply. Basically, f-geometry may be viewed as an f-transform of Euclidean geometry.What is important to note is that f-valid reasoning based on a realistic model may be more useful than p-valid reasoning based on an unrealistic model.     

A new approach to fuzzy programming

A fuzzy program is defined in the usual way as a sequence of statements (instruction) which are considered as functions (possibly fuzzy functions) and fuzzy predicates defined on the given input domain. The essential difference in the approach presented in this paper is the new interpretation of the execution of fuzzy programs, and a new method of evaluating fuzzy predicates. The result of the fuzzy program execution is an appropriate fuzzy subset in the output domain.     

半群的模糊理论研究进展

介绍半群的模糊理论研究的基本内容、方法,重点介绍半群的模糊理想、模糊同余以及目前半群的模糊理论研究进展。