Fuzzy Social Choice Models Explaining the Government Formation Proce
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, publi
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Peter C. Casey · Michael B. Gibilisco Carly A. Goodman · Kelly Nelson Pook John N. Mordeson · Mark J. Wierman Terry D. Clark
Fuzzy Social Choice Models Explaining the Government Formation Process
Studies in Fuzziness and Soft Computing Volume 318
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
For further volumes: http://www.springer.com/series/2941
About this Series The series ‘‘Studies in Fuzziness and Soft Computing’’ contains publications on various topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks, evolutionary computation, probabilistic and evidential reasoning, multi-valued logic, and related fields. The publications within ‘‘Studies in Fuzziness and Soft Computing’’ are primarily monographs and edited volumes. They cover significant recent developments in the field, both of a foundational and applicable character. An important feature of the series is its short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.
Peter C. Casey Michael B. Gibilisco Carly A. Goodman Kelly Nelson Pook John N. Mordeson Mark J. Wierman Terry D. Clark •
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Fuzzy Social Choice Models Explaining the Government Formation Process
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Peter C. Casey Department of Political Science Washington University in St. Louis St. Louis, MO USA Michael B. Gibilisco Department of Political Science University of Rochester Rochester, NY USA Carly A. Goodman West Corporation Creighton University Omaha, NE USA
Kelly Nelson Pook Terry D. Clark Department of Political Science Creighton University Omaha, NE USA John N. Mordeson Department of Mathematics Creighton University Omaha, NE USA Mark J. Wierman Computer Science and Informatics Creighton University Omaha, NE USA
ISSN 1434-9922 ISSN 1860-0808 (electronic) ISBN 978-3-319-08247-9 ISBN 978-3-319-08248-6 (eBook) DOI 10.1007/978-3-319-08248-6 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014942067 Springer International Publishing Switzerland 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions fo
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