完整後設資料紀錄
DC 欄位語言
dc.contributor.authorHu, YCen_US
dc.contributor.authorChen, RSen_US
dc.contributor.authorTzeng, GHen_US
dc.date.accessioned2014-12-08T15:41:53Z-
dc.date.available2014-12-08T15:41:53Z-
dc.date.issued2002-10-01en_US
dc.identifier.issn1083-4419en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TSMCB.2002.1033188en_US
dc.identifier.urihttp://hdl.handle.net/11536/28481-
dc.description.abstractFor each decision problem, there is a competence set, proposed by Yu, consisting of ideas, knowledge, information, and skills required for solving the problem. Thus, it is reasonable that we view a set of useful patterns discovered from a relational database by data mining techniques as a needed competence set for solving one problem. Significantly, when decision makers have not acquired the competence set, they may lack confidence in making decisions. In order to effectively acquire a needed competence set to cope with the corresponding problem, it is necessary to find appropriate learning sequences of acquiring those useful patterns, the so-called competence set expansion. This paper thus proposes an effective method consisting of two phases to generate learning sequences. The first phase finds a competence set consisting of useful patterns by using a proposed data mining technique. The other phase expands that competence set with minimum learning cost by the minimum spanning table method proposed by Feng and Yu. From a numerical example, we can see that it is possible to help decision makers to solve the decision problems by use of the data mining technique and the competence set expansion, enabling them to make better decisions.en_US
dc.language.isoen_USen_US
dc.subjectcompetence seten_US
dc.subjectdata miningen_US
dc.subjectdecision makingen_US
dc.subjectfuzzy setsen_US
dc.titleGenerating learning sequences for decision makers through data mining and competence set expansionen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TSMCB.2002.1033188en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICSen_US
dc.citation.volume32en_US
dc.citation.issue5en_US
dc.citation.spage679en_US
dc.citation.epage686en_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:000178092300013-
dc.citation.woscount12-
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