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Soft computing applications for grou...

Collan, Mikael.

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Soft computing applications for group decision-making and consensus modeling

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing applications for group decision-making and consensus modeling/ edited by Mikael Collan, Janusz Kacprzyk.
其他作者:	Collan, Mikael.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	xxv, 488 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Soft computing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-60207-3
ISBN:	9783319602073

Soft computing applications for group decision-making and consensus modeling
Soft computing applications for group decision-making and consensus modeling[electronic resource] /edited by Mikael Collan, Janusz Kacprzyk. - Cham :Springer International Publishing :2018. - xxv, 488 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3571434-9922 ;. - Studies in fuzziness and soft computing ;v.357..

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.

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.

ISBN: 9783319602073

Standard No.: 10.1007/978-3-319-60207-3doiSubjects--Topical Terms:

563033
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Soft computing applications for group decision-making and consensus modeling
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520 $a 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.
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