Overview
- First book to systematically and comprehensively present the theories and technologies of bi-level/multi-level decision making models, algorithms, software and applications as a whole
- Presents theoretical models, computational algorithms and practical techniques, software systems and applications of multi-level decision making
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 82)
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Table of contents (14 chapters)
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Back Matter
Keywords
About this book
This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice.
This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters.
Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master’s level in information systems, business administration, or the application of computer science.
Authors and Affiliations
Bibliographic Information
Book Title: Multi-Level Decision Making
Book Subtitle: Models, Methods and Applications
Authors: Guangquan Zhang, Jie Lu, Ya Gao
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-662-46059-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-46058-0Published: 10 March 2015
Softcover ISBN: 978-3-662-51634-8Published: 22 October 2016
eBook ISBN: 978-3-662-46059-7Published: 07 February 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVI, 377
Number of Illustrations: 84 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Market Research/Competitive Intelligence