Overview
- Describes practical approaches for predicting government formation using fuzzy mathematics
- Shows the latest results in modeling political dynamics using fuzzy sets theory
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 318)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies. Especially in the case of social preferences, public choice theory has failed to produce the set of alternatives from which collective choices are made. The book presents empirical findings achieved by the authors in their efforts to predict the outcome of government formation processes in European parliamentary and semi-presidential systems. Using data from the Comparative Manifesto Project (CMP), the authors propose a new approach that reinterprets error in the coding of CMP data as ambiguity in the actual political positions of parties on the policy dimensions being coded. The range of this error establishes parties’ fuzzy preferences. The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed. The comparison shows that, in most cases, the fuzzy approaches outperform their conventional counterparts.
Authors and Affiliations
Bibliographic Information
Book Title: Fuzzy Social Choice Models
Book Subtitle: Explaining the Government Formation Process
Authors: Peter C. Casey, Michael B. Gibilisco, Carly A. Goodman, Kelly Nelson Pook, John N. Mordeson, Mark J. Wierman, Terry D. Clark
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-08248-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-08247-9Published: 08 July 2014
Softcover ISBN: 978-3-319-35673-0Published: 10 September 2016
eBook ISBN: 978-3-319-08248-6Published: 20 June 2014
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIII, 183
Number of Illustrations: 29 b/w illustrations
Topics: Computational Intelligence, Political Science, Mathematics in the Humanities and Social Sciences