Fuzzy Social Choice Models - Explaining the Government Formation Process (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 318
Release date:	September 2016
First published:	2014
Authors:	Peter C. Casey • Michael B. Gibilisco • Carly A. Goodman • Kelly Nelson Pook • John N. Mordeson • Mark J Wierman • Terry D. Clark
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Paperback
Pages:	183
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-35673-0
Categories:	Books > Computing & IT > General Books > Social sciences > Politics & government > Political science & theory Books > Science & Mathematics > Science: general issues > General
LSN:	3-319-35673-9
Barcode:	9783319356730

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!