A closer look at the relation between orness and entropy of OWA function

József Mezei*, Matteo Brunelli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

2 Citations (Scopus)

Abstract

Ordered weighted averaging (OWA) functions have been extensively used to model problem of choice and consensus in the presence of multiple experts and decision makers. Since each OWA is associated to a weight vector many scholars have focused on the problem of the determination of this weight vector. In this study, we consider orness and entropy, two characterizing measures of priority vectors, and we study their interplay from a graphical point of view.

Original languageEnglish
Title of host publicationSoft Computing Applications for Group Decision-making and Consensus Modeling
EditorsMikael Collan, Janusz Kacprzyk
Pages201-211
Number of pages11
ISBN (Electronic) 978-3-319-60207-3
DOIs
Publication statusPublished - 2017
MoE publication typeA3 Part of a book or another research book

Publication series

NameStudies in Fuzziness and Soft Computing
PublisherSpringer
Volume357
ISSN (Print)1434-9922

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