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Normalizing Rank Aggregation Method for Priority of a Fuzzy Preference Relation and Its Effectiveness by YeJun Xu; QingLi Da; LiHua Liu is a scholarly article available to read on EtoBox.

What is Normalizing Rank Aggregation Method for Priority of a Fuzzy Preference Relation and Its Effectiveness about?

The aim of this paper is to show that the normalizing rank aggregation method can not only be used to derive the priority vector for a multiplicative preference relation, but also for the additive transitive fuzzy preference relation. To do so, a simple functional equation between fuzzy preference's element and priority weight is derived firstly, then, based on the equation, three methods are proposed to prove that the normalizing rank aggregation method is simple and effective for deriving the priority vector. Finally, a numerical example is used to illustrate the proposed methods.

Author

YeJun Xu; QingLi Da; LiHua Liu

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0888-613X)

Published

2009

Language

EN