A New Step-by-Step (SBS) Algorithm for Inconsistency Reduction in Pairwise Comparisons

被引：10
作者：
Mazurek, Jiri [1 ]
Perzina, Radomir [1 ]
Strzalka, Dominik [2 ]
Kowal, Bartosz [2 ]
机构：
[1] Silesian Univ Opava, Opava 74601, Czech Republic
[2] Rzeszow Univ Technol, PL-35959 Rzeszow, Poland
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Indexes; Optimization; Eigenvalues and eigenfunctions; Complexity theory; Tools; Iterative algorithms; Licenses; Algorithm; consistency; inconsistency reduction; pairwise comparisons; DISTANCE-BASED INCONSISTENCY; ANALYTIC HIERARCHY PROCESS; DECISION-MAKING; COMPARISON MATRICES; CONSISTENCY; INDEXES; CONVERGENCE; IMPROVEMENT; RANKING;
D O I：
10.1109/ACCESS.2020.3011551
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Pairwise comparisons constitute a popular and important tool for multiple-criteria decision making. Consistency is one particular aspect of pairwise comparisons that has been studied thoroughly in recent decades since human judgements are seldom fully consistent. The aim of this paper is to propose a new simple and intuitive iterative Step-by-Step (SBS) algorithm for inconsistency reduction of a (multiplicative) pairwise comparison matrix based on step-by-step changes of the most inconsistent matrix element, where the inconsistency is measured by a modified Koczkodaj's inconsistency index. A comparison of the proposed SBS algorithm with other algorithms for inconsistency reduction is provided as well.
引用
收藏
页码：135821 / 135828
页数：8
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