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dc.contributor.authorYu, Rachungen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:15:53Z-
dc.date.available2014-12-08T15:15:53Z-
dc.date.issued2006-09-01en_US
dc.identifier.issn0096-3003en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.amc.2005.11.163en_US
dc.identifier.urihttp://hdl.handle.net/11536/11860-
dc.description.abstractIn this paper, the decision making problems with the dependence and the feedback effects are considered. Although the analytic network/hierarchy process (ANP/AHP) has been proposed to deal with the problems above, several problems make the method impractical. In this paper, we proposed the fuzzy decision maps (FDM), which incorporates the eigen-value method, the fuzzy cognitive maps (FCM), and the weighting equation, to overcome the problem of preferential independent and the shortcomings of the ANP. In addition, two numerical examples are used to demonstrate the proposed method. On the basis of the numerical results, we can conclude that the proposed method can soundly deal with the decision making problems with the dependence and the feedback effects. (c) 2006 Published by Elsevier Inc.en_US
dc.language.isoen_USen_US
dc.subjectdecision makingen_US
dc.subjectanalytic network/hierarchy process (ANP/AHP)en_US
dc.subjectfuzzy decision maps (FDM)en_US
dc.subjectfuzzy cognitive maps (FCM)en_US
dc.subjectpreferential independenten_US
dc.titleA soft computing method for multi-criteria decision making with dependence and feedbacken_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.amc.2005.11.163en_US
dc.identifier.journalAPPLIED MATHEMATICS AND COMPUTATIONen_US
dc.citation.volume180en_US
dc.citation.issue1en_US
dc.citation.spage63en_US
dc.citation.epage75en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000241142000008-
dc.citation.woscount70-
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