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Author Beliakov, G. ♦ James, S. ♦ Wilkin, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Additives ♦ Decision making ♦ Open wireless architecture ♦ Information technology ♦ Australia ♦ Focusing ♦ Motion pictures
Abstract In group decision-making problems it is common to elicit preferences from human experts in the form of pairwise preference relations. When this is extended to a fuzzy setting, entries in the pairwise preference matrix are interpreted to denote strength of preference, however once logical properties such as consistency and transitivity are enforced, the resulting preference relation requires almost as much information as providing raw scores or a complete order over the alternatives. Here we instead interpret fuzzy degrees of preference to only apply where the preference over two alternatives is genuinely fuzzy and then suggest an aggregation procedure that minimizes a generalized Kemeny distance to the nearest complete or partial order. By focusing on the fuzzy partial order, the method is less affected by differences in the natural scale over which an expert expresses their preference, and can also limit the influence of extreme scores.
Description Author affiliation: Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia (Beliakov, G.; James, S.; Wilkin, T.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-02
Publisher Place Turkey
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467374286
Size (in Bytes) 243.30 kB
Page Count 8
Starting Page 1
Ending Page 8

Source: IEEE Xplore Digital Library