Fuzzy Social Choice Models (Record no. 58599)

000 -LEADER
fixed length control field 03647nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-08248-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112546.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140620s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319082486
-- 978-3-319-08248-6
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author C. Casey, Peter.
245 10 - TITLE STATEMENT
Title Fuzzy Social Choice Models
Sub Title Explaining the Government Formation Process /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 183 p. 29 illus.
490 1# - SERIES STATEMENT
Series statement Studies in Fuzziness and Soft Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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. .
700 1# - AUTHOR 2
Author 2 B. Gibilisco, Michael.
700 1# - AUTHOR 2
Author 2 A. Goodman, Carly.
700 1# - AUTHOR 2
Author 2 Pook, Kelly Nelson.
700 1# - AUTHOR 2
Author 2 N. Mordeson, John.
700 1# - AUTHOR 2
Author 2 J. Wierman, Mark.
700 1# - AUTHOR 2
Author 2 D. Clark, Terry.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-08248-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- txt
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Political science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Social sciences.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Political Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics in the Humanities and Social Sciences.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1434-9922 ;
912 ## -
-- ZDB-2-ENG

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