A general unified framework for interval pairwise comparison matrices

被引:43
作者
Cavallo, Bice [1 ]
Brunelli, Matteo [2 ]
机构
[1] Univ Naples Federico II, Dept Architecture, Naples, Italy
[2] Univ Trento, Dept Ind Engn, Trento, Italy
基金
芬兰科学院;
关键词
Multi-criteria decision making; Interval pairwise comparison matrix; Abelian linearly ordered group; Consistency; Consistency index; Indeterminacy index; GROUP DECISION-MAKING; MULTIPLICATIVE PREFERENCE RELATIONS; ANALYTIC HIERARCHY PROCESS; RECIPROCAL COMPARISON MATRICES; LINEARLY ORDERED-GROUPS; INCONSISTENCY INDEXES; CONSISTENCY ANALYSIS; ALO-GROUP; UNCERTAINTY; WEIGHTS;
D O I
10.1016/j.ijar.2017.11.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Interval Pairwise Comparison Matrices have been widely used to account for uncertain statements concerning the preferences of decision makers. Several approaches have been proposed in the literature, such as multiplicative and fuzzy interval matrices. In this paper, we propose a general unified approach to Interval Pairwise Comparison Matrices, based on Abelian linearly ordered groups. In this framework, we generalize some consistency conditions provided for multiplicative and/or fuzzy interval pairwise comparison matrices and provide inclusion relations between them. Then, we provide a concept of distance between intervals that, together with a notion of mean defined over real continuous Abelian linearly ordered groups, allows us to provide a consistency index and an indeterminacy index. In this way, by means of suitable isomorphisms between Abelian linearly ordered groups, we will be able to compare the inconsistency and the indeterminacy of different kinds of Interval Pairwise Comparison Matrices, e.g. multiplicative, additive, and fuzzy, on a unique Cartesian coordinate system. (C) 2017 Elsevier Inc. All rights reserved.
引用
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页码:178 / 198
页数:21
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