Fuzzy Multiple Objective Decision Making - Softcover

Tzeng, Gwo-Hshiung

 
9780367379643: Fuzzy Multiple Objective Decision Making
Softcover
ISBN 10: 0367379643 ISBN 13: 9780367379643
Verlag: Routledge, 2019

Inhaltsangabe

Focusing on the methodologies and applications of the field, this book presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of MODM. The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM.

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Über die Autorin bzw. den Autor

Gwo-Hshiung Tzeng is a Distinguished Chair Professor at Kainan University. He is editor-in-chief of the International Journal of Operations Research and the International Journal of Information Systems for Logistics and Management. He received a PhD in management science from Osaka University. His research interests include statistics, multivariate analysis, networks, routing and scheduling, multiple criteria decision making, fuzzy theory, hierarchical structure analysis for application to technology management, energy, environment, transportation systems, transportation investment, logistics, location, urban planning, tourism, technology management, electronic commerce, and global supply chains.

Jih-Jeng Huang is an assistant professor of computer science and information management at Soochow University, where he teaches research methods, multivariate analysis, and capital asset and pricing models. He received a PhD in information management from the National Taiwan University. His research interests include multiple criteria decision making, knowledge management, behavioral economics and finance, and data analysis. His work has been widely published in journals and conference proceedings.

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Verlag
Routledge
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
0367379643
ISBN 13 
9780367379643
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
324
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

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