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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/11536/18448-
dc.description.abstractSince Kuhn and Tucker (195 1) originally proposed the concept of proper noninferior solution solving nonlinear programming problems and it was later modified by Geoffrion (1967), Yu (1973) further introduce compromise solution method to cope with multicriteria decision-making problems. In addition, Charnes (1955) presented goal programming method, and Bellman and Zadeh (1970) proposed the concepts of decision-making in fuzzy environment, many distinguished work guide person study in this field. This paper review some methods concerning basic mathematical concepts of models applied on multiple objective decision making problem including fuzzy multiobjective linear programming (FMOLP), fuzzy goal programming (FGP), two-phase method, achievement function, data envelopment analysis(DEA), and De Novo Programming.en_US
dc.language.isoen_USen_US
dc.titleMultiple objective decision making in past, present, and futureen_US
dc.typeProceedings Paperen_US
dc.identifier.journalMULTI-OBJECTIVE PROGRAMMING AND GOAL PROGRAMMINGen_US
dc.citation.spage65en_US
dc.citation.epage76en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000185177200007-
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