Intuitionistic fuzzy sublattices and ideals

We study the concept of intuitionistic fuzzy sublattices and intuitionistic fuzzy ideals of a lattice. Some characterization and properties of these intuitionistic fuzzy sublattices and ideals are established. Also we introduce the sum and product of two intuitionistic fuzzy ideals and prove that the sum and product of two Intuitionistic fuzzy ideals of a distributive lattice is again an intuitionistic fuzzy ideal. Moreover, we study the properties of intuitionistic fuzzy ideals under lattice homomorphism.     

格蕴涵代数的直觉模糊LI-理想

本文深入研究了格蕴涵代数的直觉模糊\textit{LI}-理想理论.给出了直觉模糊\textit{LI}-理想的若干新的性质和等价刻画. 建立了由一个直觉模糊集生成的直觉模糊\textit{LI}-理想的表示定理.证明了一个格蕴涵代数的全体之集模糊\textit{LI}-理想之集在直觉模糊包含序下构成一个完备的分配格.     

完全分配格上的伪补及其应用

定义完全分配格上的伪补 ,讨论伪补的性质 ,给出模糊矩阵有广义逆及模糊关系方程有解的充分必要条件。     

On Rough Intuitionistic Fuzzy Ideals（Filters） in Lattices

In this paper, we introduce a new algebraic structure, called a rough intuitionistic fuzzy ideal（filter） which is a generalized intuitionistic fuzzy ideal（filter） of a lattice and study some related properties of such ideals（filters）.     

The Semigroup of Primitive Circulant Matrices over a Distributive Lattice

In this paper, the concepts of primitive matrices over a distributive lattice L are introduced, and some algebraic properties of primitive circulant matrices over the lattice L are obtained. Also, some characterizations of the set of all primitive circulant matrices over the lattice L of order n as a semigroup are given.     

$M$-半群的直觉$(S,T)$-模糊$M$-子半群的性质

K.T.Atanassov在1986年首先引入直觉模糊集的概念,本文利用s-范数和t-范数,引入M-半群的直觉(S,T)-模糊M-子半群的概念,刻画其性质和特征,我们再进一步给出了直觉(S,T)-直积的概念,并由此探讨了一些有意义的相关结论。     

On intutionistic fuzzy gpr-closed sets

In this paper, a new class of intuitionistic fuzzy closed sets called intuitionistic fuzzy generalized preregular closed sets (briefly intuitionistic fuzzy gpr-closed sets) and intuitionistic fuzzy generalized preregular open sets (briefly intuitionistic fuzzy gpr-open sets) are introduced and their properties are studied. Further the notion of intuitionistic fuzzy preregular T _1/2-spaces and intuitionistic fuzzy generalized preregular continuity (briefly intuitionistic fuzzy gpr-continuity) are introduced and studied.     

直觉模糊集的广义模糊熵

利用模糊补定义了直觉模糊集的广义补集,并讨论了直觉模糊集广义补集的一些性质。在此基础上,给出了直觉模糊集广义模糊熵的公理化定义及几个直觉模糊集广义模糊熵的具体计算公式。此外,本文还研究了直觉模糊集的广义模糊熵与相似性测度之间的关系。     

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     

格上的T-幂等矩阵

利用完备的分配格L上三角模定义L上的矩阵运算，给出这些运算的一些基本性质，并且讨论L上的T-幂等矩阵。     

h-半正则广义直觉模糊duo半环

通过在半环上引入具有边界值的直觉模糊h-理想和h-双理想,给出了一种广义直觉模糊duo半环,并在半环满足h-半正则性的前提下,对广义直觉模糊duo半环的性质进行了讨论.     

用二值矩阵表示研究格矩阵的{1}-广义逆和{1,2}-广义逆

用二值矩阵表示的方法(即将格矩阵表示成二值矩阵的线性组合)研究了分配格上矩阵的{1}-广义逆和{1,2}-广义逆. 讨论了{1}-广义逆和{1,2}-广义逆存在的充分必要条件. 给出了判断这些逆是否存在且存在时找出所有这些逆的算法. 从而解决了Kim和Roush(K.H.Kim,F.W.Roush. Generalized fuzzy matrix. Fuzzy Sets and Systems,1980,4(3):293～315)及部分解决了Cao和Kim(Z.Q.Cao,K.H.Kim,F.W.Roush. Incline algebra and applications. New York:John Wiley,1984)提出的问题.     

Generalized intuitionistic fuzzy geometric aggregation operators and their application to multi-criteria decision making

In this paper, we extend the generalized weighted geometric and generalized ordered weighted geometric operators to intuitionistic fuzzy environments, that is, we develop a series of generalized intuitionistic fuzzy geometric operators to aggregate input arguments that are expressed by intuitionistic fuzzy values based on Archimedean t-conorm and t-norm. Then some desired properties of these aggregation operators are investigated. The relations between these operators and some existing intuitionistic fuzzy geometric aggregation operators are discussed in detail. Furthermore, applying these proposed operators, we develop an approach for multi-criteria decision making with intuitionistic fuzzy information. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.     

基于阿基米德范数的广义直觉模糊Bonferroni平均及其多属性决策方法

主要提出了一种基于阿基米德T-范数和S-范数的广义直觉模糊Bonferroni平均算子.首先利用广义直觉模糊运算法则和阿基米德T-范数和S-范数,构建了一种新的广义直觉模糊Bonferroni平均算子,并详细研究了该算子的一些优良性质,包括幂等性、单调性、有界性以及置换不变性等;然后探究了广义直觉模糊Bonferroni平均算子的几类特殊形式;最后在直觉模糊环境下,基于提出的算子建立了一种新的多属性决策方法,并以图书馆空调系统的选择为例,分析说明了提出的决策方法的可行性和有效性.     

Multi-person multi-attribute decision making models under intuitionistic fuzzy environment

Intuitionistic fuzzy numbers, each of which is characterized by the degree of membership and the degree of non-membership of an element, are a very useful means to depict the decision information in the process of decision making. In this article, we investigate the group decision making problems in which all the information provided by the decision makers is expressed as intuitionistic fuzzy decision matrices where each of the elements is characterized by intuitionistic fuzzy number, and the information about attribute weights is partially known, which may be constructed by various forms. We first use the intuitionistic fuzzy hybrid geometric (IFHG) operator to aggregate all individual intuitionistic fuzzy decision matrices provided by the decision makers into the collective intuitionistic fuzzy decision matrix, then we utilize the score function to calculate the score of each attribute value and construct the score matrix of the collective intuitionistic fuzzy decision matrix. Based on the score matrix and the given attribute weight information, we establish some optimization models to determine the weights of attributes. Furthermore, we utilize the obtained attribute weights and the intuitionistic fuzzy weighted geometric (IFWG) operator to fuse the intuitionistic fuzzy information in the collective intuitionistic fuzzy decision matrix to get the overall intuitionistic fuzzy values of alternatives by which the ranking of all the given alternatives can be found. Finally, we give an illustrative example.     

Idempotent matrix lattices over distributive lattices

In this paper, the partially ordered set of idempotent matrices over distributive lattices with the partial order induced by a set of lattice matrices is studied. It is proved that this set is a lattice; the formulas for meet and join calculation are obtained. In the lattice of idempotent matrices over a finite distributive lattice, all atoms and coatoms are described. We prove that the lattice of quasi-orders over an n-element set Qord(n) is not graduated for n ≥ 3 and calculate the greatest and least lengths of maximal chains in this lattice. We also prove that the interval ([I, J]_≤, ≤) of idempotent (n × n)-matrices over {ie879-01}-lattices is isomorphic to the lattice of quasi-orders Qord(n). Using this isomorphism, we calculate the lattice height of idempotent {ie879-02}-matrices. We obtain a structural criterion of idempotent matrices over distributive lattices. __________ Translated from Fundamentalnaya i Prikladnaya Matematika, Vol. 13, No. 4, pp. 121–144, 2007.     

L-矩阵与三角模

利用完备的分配格L上三角模定义L上的矩阵运算,给出这些运算的一些基本性质,并且详细讨论L上的几类方阵.     

LOWER SET-VALUED FUZZY TOPOLOGIES

Abstract

A construction by the second author of generating fuzzy topologies from a decreasing chain of fuzzy topologies is generalized by considering the lattice of all lower sets of a completely distributive lattice as a range space of a fuzzy topology.     

On prime matrices over distributive lattices

Characteristics for lattice matrices to be prime and existence criteria for prime matrices over distributive lattices are obtained.     

Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems

In this paper, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by interval-valued intuitionistic fuzzy number (IVIFN), and the information about attribute weights is partially known. First, we use the interval-valued intuitionistic fuzzy hybrid geometric (IIFHG) operator to aggregate all individual interval-valued intuitionistic fuzzy decision matrices provided by the decision-makers into the collective interval-valued intuitionistic fuzzy decision matrix, and then we use the score function to calculate the score of each attribute value and construct the score matrix of the collective interval-valued intuitionistic fuzzy decision matrix. From the score matrix and the given attribute weight information, we establish an optimization model to determine the weights of attributes, and then we use the obtained attribute weights and the interval-valued intuitionistic fuzzy weighted geometric (IIFWG) operator to fuse the interval-valued intuitionistic fuzzy information in the collective interval-valued intuitionistic fuzzy decision matrix to get the overall interval-valued intuitionistic fuzzy values of alternatives, and then rank the alternatives according to the correlation coefficients between IVIFNs and select the most desirable one(s). Finally, a numerical example is used to illustrate the applicability of the proposed approach.