R0-代数（NM-代数）的区间值模糊子代数

将区间值模糊集的概念应用于R0-代数,引入区间值模糊R0-子代数的概念并研究它的性质。给出了区间值模糊集成为区间值模糊R0-子代数的一个充要条件;讨论了区间值模糊R0-子代数和R0-子代数之间的关系;定义了区间值模糊集的象和原象,获得了区间值模糊R0-子代数的象和原象成为区间值模糊R0-子代数的条件。     

格蕴涵代数的区间值(J)-模糊滤子理论

将区间值模糊集和D[0,1]上的t-模(J)应用于格蕴涵代数的滤子理论,引入格蕴涵代数的区间值,(J)-模糊(关联、正关联)滤子的概念,给出了它们的等价刻画,研究了它们之间的关系.     

(∈,∈∨_q)-区间值模糊子格

将区间值模糊集的概念和运算应用于子格概念的研究,引入(∈,∈∨q)-区间值模糊子格的概念并考察它们的基本性质。给出了格L上区间值模糊集成为L的(∈,∈∨q)-区间值模糊子格的若干等价条件;讨论(∈,∈∨q)-区间值模糊子格与子格及(∈,∈∨q)-模糊子格间的相互关系;获得了(∈,∈∨q)-区间值模糊子格的像与原像成为(∈,∈∨q)-区间值模糊子格的条件。     

区间值模糊命题逻辑的最大子代数及其广义重言式

将S-型蕴涵算子改为R0-蕴涵算子，从而找到区间值模糊逻辑I[0，1]的一个最大子代数IQ，进而将王国俊教授在逻辑系统W中的广义重言式理论推广应用到IQ中。     

格蕴涵代数的区间值(∈,∈V q)-fuzzy LI-理想

将区间值fuzzy集的思想和方法应用于格蕴涵代数,引入格蕴涵代数的区间值(∈,∈Vq)-fuzzy LI-理想的概念并讨论它们的性质.获得区间值(∈,∈V q)-fuzzy LI-理想的若干等价刻画;并考察区间值(∈,∈V q)-fuzzy LI-理想与LI-理想之间的关系.     

基于区间值模糊点和区间值模糊集邻属关系的区间值模糊子群

利用区间值模糊集的区间值水平截集的概念,给出了区间值模糊点与区间值模糊集邻属关系的定义,将这种邻属关系应用到区间值模糊代数的研究中,从而给出了(α,β)-区间值模糊子群的定义。通过研究16种(α,β)-区间值模糊子群,指出有意义的是(∈,∈)((∈,∈∨q),(∈∧q,∈))-区间值模糊子群。证明了群G的一个区间值模糊子集A为(∈,∈)((∈,∈∨q)或(∈∧q,∈))-区间值模糊子群的充要条件是对所有的λ=[a1,a2]≤[0.5,0.5],[0.5,0.5]μ=[b1,b2],其区间值水平截集Aλ和Aμ(Aλ或Aμ)为G的三值模糊子群。从而建立了基于区间值模糊点和区间值模糊集邻属关系的新的区间值模糊子群理论。     

格蕴涵代数的反犹豫模糊滤子

本文研究了格蕴涵代数的反犹豫模糊滤子。将反犹豫模糊集应用于格蕴涵代数,提出反犹豫模糊滤子概念,得到了若干等价刻画;给出犹豫模糊集的反扩张定理,并讨论了反犹豫模糊滤子的像与原像的关系;最后定义了犹豫模糊集的反直积,研究了反犹豫模糊滤子与直积格蕴涵代数的反犹豫模糊滤子之间的关系,证明了乘积格蕴涵代数的犹豫模糊子集是反犹豫模糊滤子的必要条件。     

格蕴涵代数的区间值(∈,∈∨q)-fuzzy LI-理想(英文)

将区间值fuzzy集的思想和方法应用于格蕴涵代数,引入格蕴涵代数的区间值(∈,∈∨q)-fuzzy LI-理想的概念并讨论它们的性质。获得区间值(∈,∈∨q)-fuzzy LI-理想的若干等价刻画;并考察区间值(∈,∈∨q)-fuzzy LI-理想与LI-理想之间的关系。     

基于区间数度量的区间值模糊集合的贴近度和模糊度的关系

给出了基于区间数度量的区间值模糊集合的贴近度和模糊度的概念,详细研究了区间值模糊集合的贴近度和模糊度之间的关系,并基于公理化定义,证明了它们二者之间的相互转化关系,最后,给出了若干公式来计算区间值模糊集合的贴近度和模糊度。     

一类广义区间值模糊粗糙集的公理化刻画

首先在一般区间值模糊关系上定义了两个论域上的一类广义区间值模糊粗糙集.借助区间值模糊集的截集给出区间值模糊粗糙上、下近似算子的一般表示.讨论了各种特殊的区间值模糊关系与区间值模糊近似算子性质之间的等价刻画.最后利用公理化方法刻画区间值模糊粗糙集.描述区间值模糊上、下近似算子的公理集保证了生成相同近似算子的区间值模糊关系的存在性.     

区间值直觉模糊超子群

在K.Atanassov引进区间值直觉模糊集的基础上,给出了区间值直觉模糊超子群的定义,刻画了其特征结构,研究了这类区间值直觉模糊超群的同态像及原像等问题.同时,讨论了区间值直觉模糊超子群与区间值直觉模糊子群的关系.     

Some Properties of Fuzzy Filter and Its Category

Ｉｎｏｒｄｅｒｔｏｓｔｕｄｙｍａｎｙｖａｌｕｅｄｌｏｇｉｃｓｙｓｔｅｍａｎｄｅｖｅｎｔｈｅｌｏｇｉｃｓｙｓｔｅｍｂａｓｅｄｏｎｌａｔｔｉｃｅ，ａｎａｌｇｅｂｒａｉｃｓｔｒｕｃｔｕｒｅ－ｌａｔｔｉｃｅｉｍｐｌｉｃａｔｉｏｎａｌｇｅｂｒａｗａｓｉｎｔｒｏｄｕｃｅｄｉｎｒｅｆｅｒｅｎｃｅ［１］．Ｔｈｅｓｔｕｄｙｏｆｌａｔｔｉｃｅｉｍｐｌｉｃａｔｉｏｎａｌｇｅｂｒａａｓａｌｇｅｂｒａｉｃｓｙｓｔｅｍｉｓｏｆｉｎｄｅｐｅｎｄｅｎｔｉｎｔｅｒｅｓｔ．Ｉｎｒｅｆｅｒｅｎｃｅ［２，３］ｓｏｍｅｐｒｏｐｅｒｔｉｅ…     

Multiple criteria decision making method based on normal interval‐valued intuitionistic fuzzy generalized aggregation operator

On the basis of the normal intuitionistic fuzzy numbers (NIFNs), we proposed the normal interval‐valued intuitionistic fuzzy numbers (NIVIFNs) in which the values of the membership and nonmembership were extended to interval numbers. First, the definition, the properties, the score function and accuracy function of the NIVIFNs are briefly introduced, and the operational laws are defined. Second, some aggregation operators based on the NIVIFNs are proposed, such as normal interval‐valued intuitionistic fuzzy weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy ordered weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy hybrid weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy weighted geometric averaging operator, normal interval‐valued intuitionistic fuzzy ordered weighted geometric averaging operator, normal interval‐valued intuitionistic fuzzy hybrid weighted geometric averaging operator, and normal interval‐valued intuitionistic fuzzy generalized weighted averaging operator, normal interval‐valued intuitionistic fuzzy generalized ordered weighted averaging operator, normal interval‐valued intuitionistic fuzzy generalized hybrid weighted averaging operator, and some properties of these operators, such as idempotency, monotonicity, boundedness, commutativity, are studied. Further, an approach to the decision making problems with the NIVIFNs is established. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness. © 2015 Wiley Periodicals, Inc. Complexity 21: 277–290, 2016     

格蕴涵代数的（∈,∈∨q~[k]）-fuzzy LI-理想

运用fuzzy集的思想和方法研究格蕴涵代数的LI-理想.引入了（∈,∈∨q[k]）-fuzzy LI-理想和（∈,∈∨q[k]）-fuzzy格理想的概念,讨论了它们的性质及相互关系.获得了（∈,∈∨q[k]）-fuzzy LI-理想的若干等价刻画;证明了在格H蕴涵代数中（∈,∈∨q[k]）-fuzzy LI-理想和（∈,∈∨q[k]）-fuzzy格理想相互等价的结论.     

Imprecise set and fuzzy valued probability

Set valued probability and fuzzy valued probability theory is used for analyzing and modeling highly uncertain probability systems. In this paper the set valued probability and fuzzy valued probability are defined over the measurable space. They are derived from a set and fuzzy valued measure using restricted arithmetics. The range of set valued probability is the set of subsets of the unit interval and the range of fuzzy valued probability is the set of fuzzy sets of the unit interval. The expectation with respect to set valued and fuzzy valued probability is defined and some properties are discussed. Also, the fuzzy model is applied to binomial model for the price of a risky security.     

Lattice valued intuitionistic fuzzy sets

In this paper a new definition of a lattice valued intuitionistic fuzzy set (LIFS) is introduced, in an attempt to overcome the disadvantages of earlier definitions. Some properties of this kind of fuzzy sets and their basic operations are given. The theorem of synthesis is proved: For every two families of subsets of a set satisfying certain conditions, there is an lattice valued intuitionistic fuzzy set for which these are families of level sets. The research supported by Serbian Ministry of Science and Technology, Grant No. 1227.     

On Some Properties of L Type Intuitionistic Fuzzy Family

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(∈,∈∨q)-模糊软格

将模糊软集的概念与格相结合,引入了(∈,∈∨q)-模糊软格和(∈,∈∨q)-模糊软格的(∈,∈∨q)-模糊软子格的概念,给出了它们的若干代数性质.定义了格的模糊软同态概念,证明了(∈,∈∨q)-模糊软格在格的一个模糊软同态下的像与原像仍为(∈,∈∨q)-模糊软格的结论.