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100   $a20150207d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMulti-Level Decision Making $eModels, Methods and Applications /$fby Guangquan Zhang, Jie Lu, Ya Gao
205   $a1st ed. 2015.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015.
215   $a1 online resource (385 p.)
225 1 $aIntelligent Systems Reference Library,$x1868-4394 ;$v82
300   $aDescription based upon print version of record.
311   $a3-662-46058-0 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPart 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.
330   $aThis monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice. This monograph combines decision theories, methods, algorithms and applications effectively. It discusses in detail the models and solution algorithms of each issue of bi-level and tri-level decision-making, such as multi-leaders, multi-followers, multi-objectives, rule-set-based, and fuzzy parameters. Potential readers include organizational managers and practicing professionals, who can use the methods and software provided to solve their real decision problems; PhD students and researchers in the areas of bi-level and multi-level decision-making and decision support systems; students at an advanced undergraduate, master?s level in information systems, business administration, or the application of computer science.  .
410  0$aIntelligent Systems Reference Library,$x1868-4394 ;$v82
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aMarket research
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aMarket Research/Competitive Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/513030
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aMarket research.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aMarket Research/Competitive Intelligence.
676   $a658.4033
700   $aZhang$b Guangquan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0739751
702   $aLu$b Jie$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aGao$b Ya$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299698803321
996   $aMulti-Level Decision Making$92520866
997   $aUNINA