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Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 33)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.
Bibliographic Information
Book Title: Intelligent Strategies for Meta Multiple Criteria Decision Making
Authors: Thomas Hanne
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4615-1595-1
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7251-6Published: 31 December 2000
Softcover ISBN: 978-1-4613-5632-5Published: 26 October 2012
eBook ISBN: 978-1-4615-1595-1Published: 06 December 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XVIII, 197
Topics: Operations Research/Decision Theory, Artificial Intelligence
Industry Sectors: Biotechnology, Consumer Packaged Goods, Electronics, Engineering, Finance, Business & Banking, IT & Software