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Soft Computing Applications for Group Decision-making and Consensus Modeling

  • Book
  • © 2018

Overview

Editors:
  1. Mikael Collan

    1. School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

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    You can also search for this editor in PubMed   Google Scholar

  2. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xxv
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  2. General Human and Economic Aspects

    1. Front Matter

      Pages 1-1
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    2. Optimal Group Decision Making Criterion and How It Can Help to Decrease Poverty, Inequality, and Discrimination

      • Vladik Kreinovich, Thongchai Dumrongpokaphan
      Pages 3-19

    3. An Overview and Re-interpretation of Paradoxes of Responsiveness

      • Hannu Nurmi
      Pages 21-31

    4. Veto in Yes-no and Yes-no-Abstain Voting Systems

      • Jacek Mercik
      Pages 33-44

    5. Power Indices for Finance

      • Cesarino Bertini, Gianfranco Gambarelli, Izabella Stach, Maurizio Zola
      Pages 45-69

    6. The Binomial Decomposition of the Single Parameter Family of GB Welfare Functions

      • Silvia Bortot, Ricardo Alberto Marques Pereira, Anastasia Stamatopoulou
      Pages 71-85

  3. General Formal Foundations

    1. Front Matter

      Pages 87-87
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    2. The Logic of Information and Processes in System-of-Systems Applications

      • P. Eklund, M. Johansson, J. Kortelainen
      Pages 89-102

    3. Decision-making Process Using Hyperstructures and Fuzzy Structures in Social Sciences

      • Sarka Hoskova-Mayerova, Antonio Maturo
      Pages 103-111

    4. Social Preferences Through Riesz Spaces: A First Approach

      • Antonio Di Nola, Massimo Squillante, Gaetano Vitale
      Pages 113-127

    5. Coherent Conditional Plausibility: A Tool for Handling Fuzziness and Uncertainty Under Partial Information

      • Giulianella Coletti, Barbara Vantaggi
      Pages 129-152

    6. Intuitionistic Fuzzy Interpretations of Some Formulas for Estimation of Preference Degree

      • Krassimir T. Atanassov, Vassia Atanassova, Eulalia Szmidt, Janusz Kacprzyk
      Pages 153-161

  4. Judgments and Aggregation

    1. Front Matter

      Pages 163-163
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    2. Fuzzified Likert Scales in Group Multiple-Criteria Evaluation

      • Jan Stoklasa, Tomáš Talášek, Pasi Luukka
      Pages 165-185

    3. Maximal Entropy and Minimal Variability OWA Operator Weights: A Short Survey of Recent Developments

      • Christer Carlsson, Robert Fullér
      Pages 187-199

    4. A Closer Look at the Relation Between Orness and Entropy of OWA Function

      • József Mezei, Matteo Brunelli
      Pages 201-211

    5. Rank Reversal in the AHP with Consistent Judgements: A Numerical Study in Single and Group Decision Making

      • Michele Fedrizzi, Silvio Giove, Nicolas Predella
      Pages 213-225

    6. Estimating One-Off Operational Risk Events with the Lossless Fuzzy Weighted Average Method

      • Pasi Luukka, Mikael Collan, Fai Tam, Yuri Lawryshyn
      Pages 227-236

    7. Fuzzy Signature Based Methods for Modelling the Structural Condition of Residential Buildings

      • Ádám Bukovics, István Á. Harmati, László T. Kóczy
      Pages 237-273
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Keywords

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

  • School of Business and Management, Lappeenranta University of Technology, Lappeenranta, Finland

    Mikael Collan

  • 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

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