Editors:
- Reports on cutting-edge methods, with an emphasis on soft computing for decision-making
- Highlights advanced concepts, such as dynamic consensus modeling
- Discusses novel ways to analyze imprecise information in a wide range of research areas, from psychology to economic and political science
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 357)
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Table of contents (27 chapters)
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Front Matter
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General Human and Economic Aspects
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Front Matter
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General Formal Foundations
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Front Matter
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Judgments and Aggregation
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Front Matter
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About this book
This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and political sciences, from decision sciences to data mining, and from computational sciences in general, to artificial and computational intelligence and systems. Written as a homage to Mario Fedrizzi for his scholarly achievements, creative ideas and long lasting services to different scientific communities, it introduces key theoretical concepts, describes new models and methods, and discusses a range of promising real-world applications in the field of decision-making science. It is a timely reference guide and a source of inspiration for advanced students and researchers
Editors and Affiliations
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School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland
Mikael Collan
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Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Janusz Kacprzyk
Bibliographic Information
Book Title: Soft Computing Applications for Group Decision-making and Consensus Modeling
Editors: Mikael Collan, Janusz Kacprzyk
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-60207-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-60206-6Published: 21 July 2017
Softcover ISBN: 978-3-319-86805-9Published: 04 August 2018
eBook ISBN: 978-3-319-60207-3Published: 30 June 2017
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXV, 488
Number of Illustrations: 56 b/w illustrations, 10 illustrations in colour
Topics: Computational Intelligence, Operations Research/Decision Theory, Artificial Intelligence