Soft computing applications for group decision-making and consensus modeling

Author(s)
Bibliographic Information

Soft computing applications for group decision-making and consensus modeling

Mikael Collan, Janusz Kacprzyk, ediors

(Studies in fuzziness and soft computing, v. 357)

Springer, c2018

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Includes bibliographical references

Description and Table of Contents

Description

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

Table of Contents

Optimal Group Decision Making Can Help Decrease Poverty, Inequality, and Discrimination.- An Overview and Re-Interpretation of Paradoxes of Responsiveness.- Veto in Yes-no and Yes-no-abstain Voting Systems.- Power Indices for Finance.- The binomial decomposition of the single parameter family of GB welfare functions.- The logic of information and processes in the system-of-systems applications.- Decision-making Process using Hyperstructures and Fuzzy Structures in the Social Sciences.- Social Preferences through Riesz Spaces: A First Approach.- Coherent conditional plausibility: a tool for handling fuzziness and uncertainty under partial information.- Intuitionistic fuzzy interpretations of some formulas for estimation of preference degree.- Fuzzified Likert Scales in Group Multiple-criteria Evaluation.- Maximal Entropy and Minimal Variability OWA Operator Weights: A Short Survey of Recent Developments.

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Details
  • NCID
    BB24577692
  • ISBN
    • 9783319602066
  • Country Code
    sz
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    Cham
  • Pages/Volumes
    xxv, 488 p.
  • Size
    25 cm
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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