Fuzzy Social Choice Theory

Fuzzy Social Choice Theory

EnglishPaperback / softbackPrint on demand
B. Gibilisco, Michael
Springer, Berlin
EAN: 9783319356716
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Detailed information

This book offers a comprehensive analysis of the social choice literature and shows, by applying fuzzy sets, how the use of fuzzy preferences, rather than that of strict ones, may affect the social choice theorems. To do this, the book explores the presupposition of rationality within the fuzzy framework and shows that the two conditions for rationality, completeness and transitivity, do exist with fuzzy preferences. Specifically, this book examines: the conditions under which a maximal set exists; the Arrow’s theorem; the Gibbard-Satterthwaite theorem and the median voter theorem. After showing that a non-empty maximal set does exists for fuzzy preference relations, this book goes on to demonstrating the existence of a fuzzy aggregation rule satisfying all five Arrowian conditions, including non-dictatorship. While the Gibbard-Satterthwaite theorem only considers individual fuzzy preferences, this work shows that both individuals and groups can choose alternatives to various degrees, resulting in a social choice that can be both strategy-proof and non-dictatorial. Moreover, the median voter theorem is shown to hold under strict fuzzy preferences but not under weak fuzzy preferences. By providing a standard model of fuzzy social choice and by drawing the necessary connections between the major theorems, this book fills an important gap in the current literature and encourages future empirical research in the field.

EAN 9783319356716
ISBN 3319356712
Binding Paperback / softback
Publisher Springer, Berlin
Publication date September 3, 2016
Pages 185
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors B. Gibilisco, Michael; D. Clark, Terry; E. Albert, Karen; J. Wierman, Mark; M. Gowen, Annie; N. Mordeson, John
Illustrations XVIII, 185 p. 7 illus.
Edition Softcover reprint of the original 1st ed. 2014
Series Studies in Fuzziness and Soft Computing