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dc.contributor.authorHu, YCen_US
dc.contributor.authorHu, JSen_US
dc.contributor.authorChen, RSen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:39:23Z-
dc.date.available2014-12-08T15:39:23Z-
dc.date.issued2004-04-01en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0377-2217(02)00652-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/26906-
dc.description.abstractFuzzy knowledge of consumers' frequent purchase behaviors can be extracted from transaction databases. To effectively supporting decision makers, it is necessary to use fuzzy knowledge to assess weights or degrees of consumers' attentiveness to product attributes. From the standpoint of habitual domains, frequent purchase behaviors can be viewed as ideas that are contained in the reachable domain of customers. In addition, this reachable domain is changeable with time, due to the dynamic environment. This paper thus proposes a two-phase learning method with adaptive capability. The first phase builds a fuzzy knowledge base by discovering frequent purchase behaviors from transaction databases; the second phase finds weights of product attributes by a single-layer perceptron neural network. Indeed, customers are asked to evaluate alternatives and attributes through questionnaire. Then, each alternative can be transformed into a piece of input training data for the neural network by the fuzzy knowledge base and part-worths of attributes' levels. After completing the training task, we can find weights from connection weights. Simulation results demonstrate that the proposed methods can use fuzzy knowledge to effectively find customers' attentive degrees of attributes. (C) 2002 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy setsen_US
dc.subjectneural networksen_US
dc.subjectdata miningen_US
dc.subjecthabitual domainen_US
dc.subjectdecision-makingen_US
dc.titleAssessing weights of product attributes from fuzzy knowledge in a dynamic environmenten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0377-2217(02)00652-5en_US
dc.identifier.journalEUROPEAN JOURNAL OF OPERATIONAL RESEARCHen_US
dc.citation.volume154en_US
dc.citation.issue1en_US
dc.citation.spage125en_US
dc.citation.epage143en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.department資訊管理與財務金融系
註:原資管所+財金所
zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000187779000010-
dc.citation.woscount14-
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