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dc.contributor.authorHo, Hui-Pingen_US
dc.contributor.authorChang, Ching-Teren_US
dc.contributor.authorKu, Cheng-Yuanen_US
dc.date.accessioned2015-12-02T02:59:21Z-
dc.date.available2015-12-02T02:59:21Z-
dc.date.issued2015-02-16en_US
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.ejor.2014.08.009en_US
dc.identifier.urihttp://hdl.handle.net/11536/128094-
dc.description.abstractThe widespread use of the Internet has significantly changed the behavior of homebuyers. Using online real estate agents, homebuyers can rapidly find some modern houses that meet their needs; however, most current online housing systems provide limit features. In particular, existing systems fail to consider homebuyers\' housing goals and risk attitudes. To increase effectiveness, online real estate agents should provide an efficient matching mechanism, personalized service and house ranking with the aim of increasing both buyers\' satisfaction and deal rate. An efficient online real estate agent should provide an easy way for homebuyers to find (rank) a suitable house (alternatives) with consideration of their different housing philosophies and risk attitudes. In order to comprehend these ambiguous housing goals and risk attitudes, it is also indispensable to determine a satisfaction level for each fuzzy goal and constraint. In this study, we propose fuzzy goal programming with an S-shaped utility function as a decision aid to help homebuyers in choosing their preferred house via the Internet in an easy way. With the use of a decision aid, homebuyers can specify their housing goals and constraints with different priority levels and thresholds as a matching mechanism for a fuzzy search, while the matching mechanism can be translated into a standard query language for a regular relational database. Moreover, a laboratory experiment is conducted on a real case to demonstrate the effectiveness of the proposed approach. The results indicate that the proposed method provides better customer satisfaction than manual systems in housing selection service. (C) 2014 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectDecision support systemsen_US
dc.subjectMultiple objective programmingen_US
dc.subjectFuzzy goal programmingen_US
dc.subjectUtility functionsen_US
dc.subjectRisk attitudeen_US
dc.titleHouse selection via the internet by considering homebuyers' risk attitudes with S-shaped utility functionsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ejor.2014.08.009en_US
dc.identifier.journalEUROPEAN JOURNAL OF OPERATIONAL RESEARCHen_US
dc.citation.volume241en_US
dc.citation.spage188en_US
dc.citation.epage201en_US
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.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000344428200016en_US
dc.citation.woscount2en_US
Appears in Collections:Articles