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dc.contributor.authorShyng, Jhieh-Yuen_US
dc.contributor.authorShieh, How-Mingen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:48:42Z-
dc.date.available2014-12-08T15:48:42Z-
dc.date.issued2010-08-01en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.knosys.2010.04.003en_US
dc.identifier.urihttp://hdl.handle.net/11536/32379-
dc.description.abstractThe classical Rough Set Theory (RST) always generates too many rules, making it difficult for decision makers to choose a suitable rule. In this study, we use two processes (pre process and post process) to select suitable rules and to explore the relationship among attributes In pre process, we propose a pruning process to select suitable rules by setting up a threshold on the support object of decision rules, to thereby solve the problem of too many rules The post process used the formal concept analysis from these suitable rules to explore the attribute relationship and the most important factors affecting decision making for choosing behaviours of personal investment portfolios In this study, we explored the main concepts (characteristics) for the conservative portfolio the stable job, less than 4 working years, and the gender is male, the moderate portfolio. high school education, the monthly salary between NT$30,001 (US$1000) and NT$80,000 (US$2667), the gender is male, and the aggressive portfolio. the monthly salary between NT$30,001 (US$1000) and NT$80,000 (US$2667), less than 4 working years, and a stable job The study result successfully explored the most important factors affecting the personal investment portfolios and the suitable rules that can help decision makers. (C) 2010 Elsevier B.V All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectRough Set Theory (RST)en_US
dc.subjectFormal concept analysis (FCA)en_US
dc.subjectData miningen_US
dc.subjectChoosing behavioursen_US
dc.subjectPersonal investment portfoliosen_US
dc.titleAn integration method combining Rough Set Theory with formal concept analysis for personal investment portfoliosen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.knosys.2010.04.003en_US
dc.identifier.journalKNOWLEDGE-BASED SYSTEMSen_US
dc.citation.volume23en_US
dc.citation.issue6en_US
dc.citation.spage586en_US
dc.citation.epage597en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000280532400012-
dc.citation.woscount24-
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