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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 co...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhang, Guangquan (Autor), Lu, Jie (Autor), Gao, Ya (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Intelligent Systems Reference Library, 82
Temas:
Acceso en línea:Texto Completo

MARC

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250 |a 1st ed. 2015. 
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300 |a XVI, 377 p. 84 illus. in color.  |b online resource. 
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490 1 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 82 
505 0 |a 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. 
520 |a 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.  . 
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650 0 |a Artificial intelligence. 
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