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Random-Like Multiple Objective Decision Making: Lecture Notes in Economics and Mathematical Systems, cartea 647

Autor Jiuping Xu, Liming Yao
en Limba Engleză Paperback – 26 mar 2011
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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Specificații

ISBN-13: 9783642179990
ISBN-10: 3642179991
Pagini: 456
Ilustrații: XX, 436 p. 97 illus.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.69 kg
Ediția:2011
Editura: Springer
Colecția Lecture Notes in Economics and Mathematical Systems
Seria Lecture Notes in Economics and Mathematical Systems

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Random Set Theory.- Random Multiple Objective Decision Making.- Bi-random Multiple Objective Decision Making.- Random Fuzzy Multiple Objective Decision Making.- Random Rough Multiple Objective Decision Making.- Methodological System for RLMODM.- Some Mathematical Aids.- Some Procedures.

Textul de pe ultima copertă

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.
 
 

Caracteristici

Numerous multi-objective programming models with random-like parameters help readers to solve realistic problems Hybrid intelligent algorithms help to solve multi-objective programming problems with random-like coefficients Practical applications show a realistic environment of the models A special chapter on the methodological system for RLMODM prepares readers for the future research Includes supplementary material: sn.pub/extras

Notă biografică

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.