Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55602
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dc.contributor.authorLee (Jiun Shen) Tzong-Ruen_US
dc.contributor.authorKanchana Chokethawornen_US
dc.contributor.authorHuang Man-Yuen_US
dc.date.accessioned2018-09-05T02:58:21Z-
dc.date.available2018-09-05T02:58:21Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-84952683758en_US
dc.identifier.other10.1007/978-3-319-27284-9_15en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84952683758&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55602-
dc.description.abstract© Springer International Publishing Switzerland 2016. This paper presents an integrated methodology to find out key factors that affects people choose for different types of clinic and hospital department. The requirements of the methodology not only consider factors before, during and after treatment, but also identified clinic, dental clinic, aesthetic clinic, dental department in hospital, department of family medicine in hospital, and department of orthopedics. Although there are multiple and contradictory objectives to be considered respectively, grey relational analysis (GRA) can sort out key factors to each clinic/department and be the decision maker.en_US
dc.subjectComputer Scienceen_US
dc.titleTo determine the key factors for citizen in selecting a clinic/division in Thailanden_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume622en_US
article.stream.affiliationsNational Chung Hsing Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsNational Taiwan Universityen_US
Appears in Collections:CMUL: Journal Articles

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