区间两两比较矩阵统一分析的代数框架

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Yuan-Kai Hu , Fang Liu , Xin-Xing Deng , Jie-Yun Wang
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引用次数: 0

摘要

本文给出了一个统一分析多类型区间两两比较矩阵的代数框架。首先,利用同构映射导出了区间数排序的可能性度公式。建立了区间的偏序,从而可以构造等价类。基于区间的二值运算和偏序,构造了一个阿贝尔线性有序群。其次,在Alo群的框架内重新定义了ipcm的互反性和一致性。克服了现有ipcm一致性定义的不足。第三,提出了一种新的指标向量来衡量ipcm的不一致程度。建立了索引向量的偏序,用于确定ipcm的可接受一致性。结果表明,Alo基团之间的同构性为统一研究各种ipcm的性质提供了理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An algebraic framework for uniformly analyzing interval pairwise comparison matrices
This paper reports an algebraic framework for uniformly analyzing multiple types of interval pairwise comparison matrices (IPCMs). First, a possibility degree formula of ranking interval numbers is developed by using an isomorphic mapping. The partial order of intervals is established such that the equivalence classes can be constructed. Based on the binary operation and partial order of intervals, an Abelian linearly ordered (Alo) group is formed. Second, the reciprocal property and consistency of IPCMs are redefined within the framework of Alo group. It is found that the shortcoming of some existing consistency definitions of IPCMs is overcome. Third, a novel index vector is proposed to measure the inconsistency level of IPCMs. The partial order of the index vector is established for defining acceptable consistency of IPCMs. The results show that the isomorphisms between Alo groups offer a theoretical basis to uniformly investigate the properties of various IPCMs.
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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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