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DC Field | Value | Language |
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dc.contributor.author | Lee (Jiun Shen) Tzong-Ru | en_US |
dc.contributor.author | Kanchana Chokethaworn | en_US |
dc.contributor.author | Huang Man-Yu | en_US |
dc.date.accessioned | 2018-09-05T02:58:21Z | - |
dc.date.available | 2018-09-05T02:58:21Z | - |
dc.date.issued | 2016-01-01 | en_US |
dc.identifier.issn | 1860949X | en_US |
dc.identifier.other | 2-s2.0-84952683758 | en_US |
dc.identifier.other | 10.1007/978-3-319-27284-9_15 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84952683758&origin=inward | en_US |
dc.identifier.uri | http://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.subject | Computer Science | en_US |
dc.title | To determine the key factors for citizen in selecting a clinic/division in Thailand | en_US |
dc.type | Book Series | en_US |
article.title.sourcetitle | Studies in Computational Intelligence | en_US |
article.volume | 622 | en_US |
article.stream.affiliations | National Chung Hsing University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | National Taiwan University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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