Overview
- 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
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 647)
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Table of contents (8 chapters)
Keywords
About this book
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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Authors and Affiliations
Bibliographic Information
Book Title: Random-Like Multiple Objective Decision Making
Authors: Jiuping Xu, Liming Yao
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-18000-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-17999-0Published: 26 March 2011
eBook ISBN: 978-3-642-18000-2Published: 25 March 2011
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XX, 436
Number of Illustrations: 97 b/w illustrations
Topics: Operations Research/Decision Theory, Operations Research, Management Science