Soft Computing Applications for Group Decision-making and Consensus Modeling  [electronic resource] / 
edited by Mikael Collan, Janusz Kacprzyk. 
 - 1st ed. 2018. 
 - XXV, 488 p. 66 illus., 10 illus. in color.  online resource. 
 - Studies in Fuzziness and Soft Computing,  357  1860-0808 ; .
 - Studies in Fuzziness and Soft Computing,  357 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319602073 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-60207-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computational intelligence.<br/>Operations research.<br/>Artificial intelligence.<br/>Computational Intelligence.<br/>Operations Research and Decision Theory.<br/>Artificial Intelligence.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3