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dc.contributor.authorThepparit Sinthamrongruken_US
dc.contributor.authorKeshav Dahalen_US
dc.contributor.authorJirawit Yanchindaen_US
dc.date.accessioned2018-11-29T07:39:34Z-
dc.date.available2018-11-29T07:39:34Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn17419182en_US
dc.identifier.issn17419174en_US
dc.identifier.other2-s2.0-85052552036en_US
dc.identifier.other10.1504/IJASM.2018.094302en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85052552036&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/62675-
dc.description.abstractCopyright © 2018 Inderscience Enterprises Ltd. Home healthcare service provides daily medical services at patients’ homes. The service aims to satisfy the patients’ requirements which must be done by qualified staff visiting them at the right time. This paper proposes a new framework integrating the heuristic search and fuzzy logic with knowledge acquisition to develop reliable and effective decision to match qualified staff to offer the service with the minimum cost, under preference consideration and feasible time-slots. The framework is designed based on the hierarchical approach dividing the system into two layers: high and low level. The high level is responsible for retrieving information, such as patients’ locations and operation cost while the lower level with fuzzy logic to estimate a set of the level of staff selection to create the service plan. Our empirical study of 40 medical tasks with eight carers shows that the framework has a potential to provide improved solutions than the original.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectMultidisciplinaryen_US
dc.titleHeuristic and fuzzy scheduling synergy with knowledge acquisition of resource selection system development for home healthcare serviceen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Agile Systems and Managementen_US
article.volume11en_US
article.stream.affiliationsUniversity of the West of Scotlanden_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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