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dc.contributor.authorChiou, HKen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:26:02Z-
dc.date.available2014-12-08T15:26:02Z-
dc.date.issued2003en_US
dc.identifier.isbn3-540-00653-2en_US
dc.identifier.issn1615-3871en_US
dc.identifier.urihttp://hdl.handle.net/11536/18449-
dc.description.abstractIn this paper we propose an extended method for multicriteria optimization and compromise solution to solve multiple objective decision making (MODM) problems. This method assumes that optimal compromise solution should have the shortest distance from the positive ideal solution (PIS) as well as the longest distance from the negative ideal solution (NIS). We use the membership function of fuzzy set theory to express the satisfaction level, and use max-min operation for this bi-objective programming problem To illustrate this procedure, prequalification for the project bidding process of an outsourcing partner for semiconductor enterprise in Taiwan is solved by use of our procedure.en_US
dc.language.isoen_USen_US
dc.subjectcompromise solutionen_US
dc.subjectfuzzy set theoryen_US
dc.subjectmax-min operationen_US
dc.subjectsemiconductoren_US
dc.subjectprequalificationen_US
dc.titleAn extended approach of multicriteria optimization for MODM problemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalMULTI-OBJECTIVE PROGRAMMING AND GOAL PROGRAMMINGen_US
dc.citation.spage111en_US
dc.citation.epage116en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000185177200013-
Appears in Collections:Conferences Paper