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dc.contributor.author歐陽玉萍en_US
dc.contributor.authorYu-Ping Ou Yangen_US
dc.contributor.author張保隆en_US
dc.contributor.author林進財en_US
dc.contributor.authorPao-Long Chang ph.Den_US
dc.contributor.authorChin-Tsai Lin ph.Den_US
dc.date.accessioned2014-12-12T02:28:40Z-
dc.date.available2014-12-12T02:28:40Z-
dc.date.issued2001en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT900457044en_US
dc.identifier.urihttp://hdl.handle.net/11536/69049-
dc.description.abstract在現實的世界裡,大部分決策之準則彼此間都會有關係,因此使用傳統的加法測度較不合適。而模糊測度(fuzzy measure)則將假設放寬,僅要求滿足單調性,且使用不需要假設可加性和獨立性的模糊積分(fuzzy integral)來處理人類主觀評估程序是較為適當的。本研究修改了一個演算法,只需輸入模糊密度(fuzzy densities)就可獲得l-值,且利用以l-模糊測度為基礎的模糊積分去獲得整體評價值,最後並以一個企業內部網站評鑑之實例來對階層式多屬性決策做個說明,而結論也得到在處理人類主觀評估或準則間不獨立時採用模糊積分是較傳統的多屬性評估來得適合。zh_TW
dc.description.abstractIn the real world, most of criteria have inter-dependent characteristics and cannot be evaluated by the conventional additive measure. However, it would be more appropriate to apply a fuzzy integral model, in which it is not necessary to assume additivity and independency, to approximate the human subjective evaluation process. This research modifies an effective algorithm to determine the l-value by the input data of fuzzy densities and by fuzzy integral based on l-fuzzy measure to determine the overall evaluation. Finally, this research gives an example of enterprise intranet web sites evaluation with illustrations of hierarchical structure of l-fuzzy measure for Choquet integral model, and the results show fuzzy integral is more suitable than a traditional multi-criteria evaluation method for human subjective evaluation or criteria are not mutually independent.en_US
dc.language.isoen_USen_US
dc.subject多屬性決策zh_TW
dc.subject模糊測度zh_TW
dc.subject模糊積分zh_TW
dc.subject模糊密度zh_TW
dc.subject階層式架構zh_TW
dc.subjectMultiple attribute decision makingen_US
dc.subjectFuzzy measureen_US
dc.subjectFuzzy integralen_US
dc.subjectFuzzy densityen_US
dc.subjectHierarchical Structureen_US
dc.title企業網站評估之模糊積分階層式多屬性決策zh_TW
dc.titleHierarchical MADM of Fuzzy Integral for Enterprise Web Sites Evaluationen_US
dc.typeThesisen_US
dc.contributor.department經營管理研究所zh_TW
Appears in Collections:Thesis