Random-Like Multiple Objective Decision Making (Lecture Notes in Economics and Mathematical Systems, Band 647) - Softcover

Xu, Jiuping; Yao, Liming

Softcover

ISBN 10: 3642179991 ISBN 13: 9783642179990

Verlag: Springer, 2011

Inhaltsangabe

What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.

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Über die Autorin bzw. den Autor

Jiuping Xu was born in 1962. He obtained his PhD in applied mathematics from Tsinghua University, Beijing, China, and PhD in physical chemistry from Sichuan University, Chengdu, China, in 1995 and 1999, respectively. Dr.Dr. Xu is a Distinguished Professor of the "Chang Jiang Scholars Program" of the Ministry of Education of the People's Republic of China, the Executive Director of the Low-carbon Technology and Engineering Research Center and the Director of Uncertainty Decision Making Laboratory, Sichuan University. Prof. Xu was appointed a lifetime academician of the International Academy of Systems and Cybernetic Sciences (IASC) in 2010, an IEEE Senior Member in 2011, and I.C.D.M. Fellow in 2012. He is the President of the International Society for Management Science and Engineering Management (ISMSEM), and the Vice-President of The Systems Engineering Society of China (National society), Vice-President of the Chinese Society of Optimization & Overall Planning and Economical Mathematics (National society), the Editor in Chief of The International Journal of Management Science and Engineering Management (IJMSEM), the Executive-Editor in Chief of the World Journal of Modelling and Simulation (WJMS), the General Chair of a Series of International Conferences on Management Science and Engineering Management (ICMSEM). His current research interests include low carbon economics and management science. He has published more than 50 official books and 400 journal papers. He was awarded the International Federation of Operations Research Societies (IFORS) prize for development at the IFORS XIV Conference, Vancouver, in 1996, and has received numerous prizes in China, including the China Youth Prize for Science and Technology in 2004. Liming Yao was born in 1984. He obtained his Ph.D. in Management Science and Engineering from Sichuan University in 2012. He is currently an assistant professor in Sichuan University. He haspublished 1 book in Springer and 12 journal papers in Energy Policy, Mathematical and Computer Modelling, International Journal of Approximation Reasoning, Fuzzy Optimization and Decision Making, Petroleum Science and Technology, International Journal of Mathematics and Mathematical Sciences, World Journal of Modelling and Simulation. He also attended the international conference 'Asia Conference on Intelligent Manufacturing & Logistics Systems' in Japan and gave the report. Yi Lu was born in 1983. He obtained his Ph.D. in Technical Economy from Sichuan University in 2012. He is currently an assistant professor in Sichuan University. He is also a researcher in Engineering Research Center of Low Carbon Technology and Economy, Sichuan University. Dr. Lu was elected the I.C.D.M. Member. His research interests focus on low carbon development and post-disaster reconstruction. His recent book 'Introduction to Low Carbon Economy' has been published in Science Press in 2011. He has published articles in the journal Natural Hazards and Disaster Prevention and Management regarding post-Wenchuan earthquake reconstruction, proposing the idea of low carbon reconstruction.

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What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2011
• Sprache: Englisch
• ISBN 10: 3642179991
• ISBN 13: 9783642179990
• Einband: Taschenbuch
• Anzahl der Seiten: 456
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland