BL-代数上的几类反犹豫模糊滤子

研究了BL-代数的几类反犹豫模糊滤子.将犹豫模糊集应用于BL-代数中,分别给出了反犹豫模糊滤子、反犹豫模糊素滤子、反犹豫模糊蕴涵(正蕴涵)滤子的概念,讨论BL-代数上这几类反犹豫模糊滤子的基本性质以及它们之间的等价刻画.     

关于BL-代数的模糊滤子与模糊理想

在BL-代数中引入模糊超滤子和模糊固执滤子的概念,证明了如下条件对于BL-代数的非常数模糊滤子f来说是等价的:(1)f是布尔的和素的,(2)f是蕴涵的和素的,(3)f是超的,(4)f是固执的。应用模糊正蕴涵滤子给出G-代数的若干特征性质。提出BL-代数模糊理想的概念,给出一些重要例子,并通过例子说明在BL-代数中模糊理想一般不能由模糊滤子导出。同时,从模糊理想出发构造了商BL-代数,并建立了相应的同态基本定理。最后,研究了BL-代数的几类模糊理想及其相互关系,给出模糊布尔理想、模糊素理想、模糊超理想的特征性质。     

Heyting-代数上的(λ,μ)直觉模糊偏滤子

把直觉模糊滤子和Heyting-代数相结合,分别给出直觉模糊偏滤子,(λ,μ)直觉模糊偏滤子和(λ,μ)直觉模糊偏格滤子的定义,讨论所定义偏滤子的性质,得出(λ,μ)直觉模糊偏滤子具有交的不变性,最后证明了(λ,μ)直觉模糊偏滤子和(λ,μ)直觉模糊偏格滤子的等价关系。     

PFI代数及其P滤子

文「１」引入了ＦＩ代数及其滤子,文「２」讨论了ＦＩ代数与ＭＶ代数的联系,本文在此基础上引入了正关联ＦＩ代数及其正关联滤子,并得到几个重要性质。     

效应代数的直觉模糊滤子

引入效应代数的直觉模糊滤子和它的水平滤子的概念,讨论了直觉模糊滤子与水平滤子间的关系,给出了直觉模糊滤子的等价描述,研究了直觉模糊滤子的几个运算性质。在两个经典效应代数的效应态射与效应同构意义下,讨论了这种直觉模糊滤子的像和前像问题。     

BL代数的(∈,∈∨q)-模糊滤子理论

对BL代数的(∈,∈∨q)-模糊滤子理论作系统研究。首先,在BL代数中引入(∈,∈∨q)-模糊对合滤子和(∈,∈∨q)-模糊结合滤子两类新概念,获得了这两类(∈,∈∨q)-模糊滤子的几个等价刻画。其次,详细讨论了BL代数中各类(∈,∈∨q)-模糊滤子间的关系,证明了一个模糊集为(∈,∈∨q)-模糊布尔(关联)滤子当且仅当它既是(∈,∈∨q)-模糊正关联滤子又是(∈,∈∨q)-模糊对合滤子。最后,以直观图示的方式对BL代数中各类(∈,∈∨q)-模糊滤子间关系进行了总结。     

FI代数的模糊滤子

在FI代数(Fuzzy蕴涵代数)上引入了模糊滤子的概念并给出了其等价刻画;探讨了由模糊滤子所诱导的同余关系及商代数,证明了由模糊滤子所诱导的同余关系是完备分配格.     

R0-代数的几类犹豫模糊滤子

把犹豫模糊集理论应用在R0-代数上,给出R0-代数的犹豫模糊MP滤子、犹豫模糊素MP滤子、犹豫模糊蕴涵滤子的概念,讨论R0-代数上这几类犹豫模糊滤子的性质以及它们之间的等价刻画.     

Fuzzy蕴涵代数的模糊正则滤子

在Fuzzy蕴涵代数中引入模糊正则滤子的概念并讨论其性质.获得了模糊正则滤子的若干等价刻画.深入考察了模糊正则滤子与其它类型的模糊滤子之间的关系,证明了一个模糊集是模糊Q-滤子当且仅当它既是模糊P-滤子又是模糊正则滤子的结论.     

FI代数的滤子

研究FI代数的滤子理论，建立F滤子、P滤子、Q滤子、C滤子之间的联系．     

BL代数的fantastic滤子和normal滤子

滤子是研究逻辑代数的有效工具.本文研究了BL代数的fantastic和normal滤子的等价条件,得到了在MV-代数中两种滤子之间的等价性,给出了两个公开问题:"在什么样的合适条件下,一个normal滤子成为一个fantastic滤子?"和"在什么合适的条件下,normal滤子的拓展性成立?"结论成立的一种条件.     

Multicriteria decision-making method using the Dice similarity measure based on the reduct intuitionistic fuzzy sets of interval-valued intuitionistic fuzzy sets

This paper proposes the concept of the reduct intuitionistic fuzzy sets of interval-valued intuitionistic fuzzy sets (IVIFSs) with respect to adjustable weight vectors and the Dice similarity measure based on the reduct intuitionistic fuzzy sets to explore the effects of optimism, neutralism, and pessimism in decision making. Then a decision-making method with the pessimistic, optimistic, and neutral schemes desired by the decision maker is established by combining adjustable weight vectors and the Dice similarity measure for IVIFSs. The proposed decision-making method is more flexible and adjustable in practical problems and can determine the ranking order of alternatives and the optimal one(s), so that it can overcome the difficulty of the ranking order and decision making when there exist the same measure values of some alternatives in some cases. This adjustable feature can provide the decision maker with more selecting schemes and actionable results for the decision-making analysis. Finally, two illustrative examples are employed to show the feasibility of the proposed method in practical applications.     

Derivation of intuitionistic fuzzy weights based on intuitionistic fuzzy preference relations

This paper proposes linear goal programming models for deriving intuitionistic fuzzy weights from intuitionistic fuzzy preference relations. Novel definitions are put forward to define additive consistency and weak transitivity for intuitionistic fuzzy preference relations, followed by a study of their corresponding properties. For any given normalized intuitionistic fuzzy weight vector, a transformation formula is furnished to convert the weights into a consistent intuitionistic fuzzy preference relation. For any intuitionistic fuzzy preference relation, a linear goal programming model is developed to obtain its intuitionistic fuzzy weights by minimizing its deviation from the converted consistent intuitionistic fuzzy preference relation. This approach is then extended to group decision-making situations. Three numerical examples are provided to illustrate the validity and applicability of the proposed models.     

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.     

Rough intuitionistic fuzzy information systems

In this paper, we consider the notion of rough intuitionistic fuzzy sets and study their properties. We present an extension of rough set theory with the concept of intuitionistic fuzzy sets with several properties given. Moreover, we discuss the knowledge reduction of the classical Pawlak information systems and the intuitionistic fuzzy information systems, respectively.     

Some aspects of intuitionistic fuzzy sets

We first discuss the significant role that duality plays in many aggregation operations involving intuitionistic fuzzy subsets. We then consider the extension to intuitionistic fuzzy subsets of a number of ideas from standard fuzzy subsets. In particular we look at the measure of specificity. We also look at the problem of alternative selection when decision criteria satisfaction is expressed using intuitionistic fuzzy subsets. We introduce a decision paradigm called the method of least commitment. We briefly look at the problem of defuzzification of intuitionistic fuzzy subsets.     

Multi-criteria decision-making methods based on intuitionistic fuzzy sets

In this paper we present new methods for solving multi-criteria decision-making problem in an intuitionistic fuzzy environment. First, we define an evaluation function for the decision-making problem to measure the degrees to which alternatives satisfy and do not satisfy the decision-maker’s requirement. Then, we introduce and discuss the concept of intuitionistic fuzzy point operators. By using the intuitionistic fuzzy point operators, we can reduce the degree of uncertainty of the elements in a universe corresponding to an intuitionistic fuzzy set. Furthermore, a series of new score functions are defined for multi-criteria decision-making problem based on the intuitionistic fuzzy point operators and the evaluation function and their effectiveness and advantage are illustrated by examples.     

Note on continuous interval-valued intuitionistic fuzzy aggregation operator

Recently, Zhou et al. proposed the C-IVIFOWA operator for aggregating interval-valued intuitionistic fuzzy numbers. The flaws of the C-IVIFOWA operator are illustrated by two counter-examples. The aim of this short communication is to show how the existing aggregation operator can be improved to increase accuracy. Some desirable properties of the revised C-IVIFOWA operator are studied in detail.