Multi-Level Decision Making
Models, Methods and Applications
Business & Finance, Marketing & Sales, Research, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
| Author: | Guangquan Zhang, Jie Lu, Ya Gao | ISBN: | 9783662460597 |
| Publisher: | Springer Berlin Heidelberg | Publication: | February 7, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Guangquan Zhang, Jie Lu, Ya Gao |
| ISBN: | 9783662460597 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | February 7, 2015 |
| Imprint: | Springer |
| Language: | English |
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.
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.
