Multi-Level Decision Making [electronic resource] : Models, Methods and Applications / by Guangquan Zhang, Jie Lu, Ya Gao.
By: Zhang, Guangquan [author.].
Contributor(s): Lu, Jie [author.] | Gao, Ya [author.] | SpringerLink (Online service).
Material type: BookSeries: Intelligent Systems Reference Library: 82Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015Description: XVI, 377 p. 84 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662460597.Subject(s): Engineering | Market research | Artificial intelligence | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Market Research/Competitive IntelligenceAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlinePart 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.
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. .
There are no comments for this item.