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

József Mezei; Matteo Brunelli

doi:10.1007/978-3-319-60207-3_13

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

József Mezei^*, Matteo Brunelli

^*Corresponding author for this work

Department of Mathematics and Systems Analysis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-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 language	English
Title of host publication	Soft Computing Applications for Group Decision-making and Consensus Modeling
Editors	Mikael Collan, Janusz Kacprzyk
Pages	201-211
Number of pages	11
ISBN (Electronic)	978-3-319-60207-3
DOIs	https://doi.org/10.1007/978-3-319-60207-3_13
Publication status	Published - 2017
MoE publication type	A3 Part of a book or another research book

Publication series

Name	Studies in Fuzziness and Soft Computing
Publisher	Springer
Volume	357
ISSN (Print)	1434-9922

Access to Document

10.1007/978-3-319-60207-3_13

Link to publication in Scopus

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A closer look at the relation between orness and entropy of OWA function. / Mezei, József; Brunelli, Matteo.

Soft Computing Applications for Group Decision-making and Consensus Modeling. ed. / Mikael Collan; Janusz Kacprzyk. 2017. p. 201-211 (Studies in Fuzziness and Soft Computing; Vol. 357).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

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