Multi-Level Decision Making - Models, Methods and Applications

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.

List of contents

Part I Bi-level Decision Making.- Part II Multi-level Multi-follower Decision Making.- Part III Fuzzy Multi-level Decision Making.- Part IV Rule-set-based Bi-level Decision Making.- Part V Multi-level Decision Support Systems and Applications.

Product details

• Authors: Ya Gao, Ji Lu, Jie Lu, Guangqua Zhang, Guangquan Zhang
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2015
• EAN: 9783662460580
• ISBN: 978-3-662-46058-0
• No. of pages: 377
• Dimensions: 168 mm x 242 mm x 24 mm
• Weight: 702 g
• Illustrations: XVI, 377 p. 84 illus. in color.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; Marketing, B, Artificial Intelligence, Market research, Business Intelligence, engineering, Market Research/Competitive Intelligence, Computational Intelligence