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dc.contributor.authorYu, JRen_US
dc.contributor.authorTzeng, YCen_US
dc.contributor.authorTzeng, GHen_US
dc.contributor.authorYu, TYen_US
dc.contributor.authorSheu, HJen_US
dc.date.accessioned2014-12-08T15:38:29Z-
dc.date.available2014-12-08T15:38:29Z-
dc.date.issued2004-10-01en_US
dc.identifier.issn0218-4885en_US
dc.identifier.urihttp://dx.doi.org/10.1142/S0218488504003090en_US
dc.identifier.urihttp://hdl.handle.net/11536/26346-
dc.description.abstractA fuzzy multiple objective programming approach to data envelopment analysis (DEA) of imprecise data is proposed in this paper. The problems involving a mixture of imprecise and exact data for all decision making units (DMUs) could be resolved and the discriminating power of imprecise DEA (IDEA) is enhanced. Although Cooper et al. have developed IDEA to overcome the issues of imprecise data, the discriminating power is not satisfactory since too many efficient DMUs are derived. Chiang and Tzeng's approach using fuzzy multiple objective programming techniques is adopted to enhance the discriminating power of IDEA. The same data set of Cooper et al. is employed to illustrate the merit of our approach.en_US
dc.language.isoen_USen_US
dc.subjectdata envelopment analysisen_US
dc.subjectfuzzy multiple objective programmingen_US
dc.subjectimprecise dataen_US
dc.titleA fuzzy multiple objective programming to dea with imprecise dataen_US
dc.typeArticleen_US
dc.identifier.doi10.1142/S0218488504003090en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMSen_US
dc.citation.volume12en_US
dc.citation.issue5en_US
dc.citation.spage591en_US
dc.citation.epage600en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000225453400003-
dc.citation.woscount7-
Appears in Collections:Articles