1.

Record Nr.

UNINA9910299698803321

Autore

Zhang Guangquan

Titolo

Multi-Level Decision Making : Models, Methods and Applications / / by Guangquan Zhang, Jie Lu, Ya Gao

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015

ISBN

3-662-46059-9

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (385 p.)

Collana

Intelligent Systems Reference Library, , 1868-4394 ; ; 82

Disciplina

658.4033

Soggetti

Computational intelligence

Artificial intelligence

Marketing research

Computational Intelligence

Artificial Intelligence

Market Research/Competitive Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters.

Nota di contenuto

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.

Sommario/riassunto

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.  .