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Fuzzy Social Choice Models Explaining the Government Formation Process

Title
Fuzzy Social Choice Models [electronic resource] : Explaining the Government Formation Process / by Peter C. Casey, Michael B. Gibilisco, Carly A. Goodman, Kelly Nelson Pook, John N. Mordeson, Mark J. Wierman, Terry D. Clark.
ISBN
9783319082486
Publication
Cham : Springer International Publishing : Imprint: Springer, 2014.
Physical Description
XIII, 183 p. 29 illus : online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ebooks.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
July 01, 2014
Series
Studies in fuzziness and soft computing ; 318.
Studies in Fuzziness and Soft Computing, 318
Contents
A Fuzzy Public Choice Model
Fuzzy Preferences: Extraction from Data and Their Use in Public Choice Models
Fuzzy Single-Dimensional Public Choice Models
Fuzzy Single-Dimensional Models
Multi-Dimensional Models
Government Formation Process
The Beginnings of a Weighted Model & New Frontiers.
Subjects
Citation

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