Multi-level Decision Making : Models, Methods and Applications. This item is unavailable.
Language: English
Published by Springer, 2016
Series: Book 57 of 188 - Intelligent Systems Reference Library
- Softcover
- Used
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- Title
- Multi-level Decision Making : Models, Methods and Applications
- Author
- Zhang, Guangquan; Lu, Jie; Gao, Ya
- Publisher
- Springer
- Publication year
- 2016
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3662516349
- ISBN 13
- 9783662516348
- Series
- Book 57 of 188: Intelligent Systems Reference Library
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.