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Record Nr. |
UNINA9910299902303321 |
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Titolo |
Soft Computing Applications for Group Decision-making and Consensus Modeling / / edited by Mikael Collan, Janusz Kacprzyk |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XXV, 488 p. 66 illus., 10 illus. in color.) |
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Collana |
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Studies in Fuzziness and Soft Computing, , 1860-0808 ; ; 357 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Operations research |
Artificial intelligence |
Computational Intelligence |
Operations Research and Decision Theory |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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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. |
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