Soft Computing Applications for Group Decision-making and Consensus Modeling
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Beschreibung
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
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
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
Autor*in
Mikael Collan
Themen in »Soft Computing Applications for Group Decision-making and Consensus Modeling«
Multi-expert Decision-making Multiple-criteria Decision-making Dynamic Consensus Modeling Aggregation of Imprecise Information Information Fusion