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Présentation Fuzzy - Like Multiple Objective Multistage Decision Making de Zeng, Ziqiang Format Broché
- Livre Informatique

Livre Informatique - Zeng, Ziqiang - 01/09/2016 - Broché - Langue : Anglais

Auteur(s) : Zeng, Ziqiang - Xu, Jiuping

Editeur : Springer International Publishing Ag

Langue : Anglais

Parution : 01/09/2016

Format : Moyen, de 350g à 1kg

Nombre de pages : 404

Expédition : 610

Dimensions : 23.5 x 15.5 x 2.2

ISBN : 9783319343143

Résumé :
Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization

Biographie:

Jiuping Xu holds a Ph.D. in Applied Mathematics from Tsinghua University and a Ph.D. in Physical Chemistry from Sichuan University, where he became a professor in 1995. At present, he is the Associate Vice President of the Business School at Sichuan University, Chengdu, China, the Dean of the Business School at Sichuan University, Chengdu, China, a lifetime Academician of the International Academy for Systems and Cybernetic Sciences, an Academician of Mongolian National Academy of Sciences, an Academician of Lotfi Zadeh International Academy of Sciences, President of the International Society for Management Science and Engineering Management and General Chair of the International Conference on Management Science and Engineering Management. He has published more than 40 books in over 10 publishing houses, and over 600 papers in more than 150 international journals.

Zongmin Li obtained her Ph.D. in Management Science and Engineering from Sichuan University.Currently she is an assistant professor in Business School of Sichuan University, Chengdu, China. She was a visiting scholar in Drexel University, LeBow College of Business in 2012.9-2013.9. She is an active scholar in the areas of mathematical modeling, uncertain decision making, algorithm, multi-criteria decision analysis and applications. Her research outputs appear on some international journals such as Omega, Automation in Construction, Knowledge-Based Systems as well as some international conference proceedings.

Zhimiao Tao holds a Ph.D. in Management Science and Engineering from Sichuan University. Currently Dr. Tao is an associate professor in Business School of Sichuan University, Chengdu, China, and a visiting scholar in University of Washington, Seattle. He has published a book Rough Multiple Objective Decision Making in Taylor & Francis Press and many papers on international journals, such as Information Sciences, Mathematics and Computers in Simulation, Petroleum Science and Technology respectively. His research interests include rough set theory, bi-level programming and intelligent algorithm.

...

Sommaire:
Multiple Objective Multistage Decision Making.- Elements of Fuzzy-Like MOMSDM.- Fuzzy MOMSDM for Dynamic Machine Allocation.- Fuzzy MOMSDM for Closed Multiclass Queuing Networks.- Fuzzy Random MOMSDM for Inventory Management.- Fuzzy Random MOMSDM for Facilities Planning.- Fuzzy Random MOMSDM for Transportation Assignment.

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Fuzzy-Like Multiple Objective Multistage Decision Making - Zeng, Ziqiang

Avis sur Fuzzy - Like Multiple Objective Multistage Decision Making de Zeng, Ziqiang Format Broché - Livre Informatique

Présentation Fuzzy - Like Multiple Objective Multistage Decision Making de Zeng, Ziqiang Format Broché - Livre Informatique

Présentation Fuzzy - Like Multiple Objective Multistage Decision Making de Zeng, Ziqiang Format Broché
- Livre Informatique