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The design of fuzzy expert system implementation for analyzing transmissible disease of human

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dc.citedby10
dc.contributor.affiliationsFaculty of Medicine and Health Sciences
dc.contributor.affiliationsSTMIK Pringsewu
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.affiliationsUniversiti Sultan Zainal Abidin (UniSZA)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Tenaga Nasional (UNITEN)
dc.contributor.authorFauzien_US
dc.contributor.authorHuda M.en_US
dc.contributor.authorTeh K.S.M.en_US
dc.contributor.authorHaroon Z.en_US
dc.contributor.authorRipin M.N.en_US
dc.contributor.authorHehsan A.en_US
dc.contributor.authorAbas H.en_US
dc.contributor.authorHehsan M.R.en_US
dc.contributor.authorIrawan J.en_US
dc.contributor.authorAbadi S.en_US
dc.contributor.authorMaseleno A.en_US
dc.date.accessioned2024-05-28T08:24:36Z
dc.date.available2024-05-28T08:24:36Z
dc.date.issued2018
dc.description.abstractThe problem faced in the medical world is that decision makers to determine the disease still use manual method by doctor, even though doctor as human has a natural weakness, namely fatigue and limited physical consequences, it can be misdiagnosed, slow, sometimes uncertain, as well as transmissible disease of humans. To solve this problem, the writer conducted research for decision makers to determine transmissible disease of human using the forward chaining method in determining the initial prediction of a disease after the patient enters the symptoms. Then from the prediction of the initial disease, the software used backward chaining method in asking for other symptoms that the patient had not entered. This software was created by using the Fuzzy Set method in processing data on a knowledge-based system. Fuzzy method recognized the truth partially, this is very useful so that the system made has intelligence like human. � 2018, Advanced Scientific Research. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.31838/ijpr/2018.10.04.011
dc.identifier.epage73
dc.identifier.issn9752366
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85055837513
dc.identifier.spage68
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85055837513&doi=10.31838%2fijpr%2f2018.10.04.011&partnerID=40&md5=1ef4af0fc2953e56e2d657a5d47d184b
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8524
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherAdvanced Scientific Researchen_US
dc.relation.ispartofInternational Journal of Pharmaceutical Research
dc.sourceScopus
dc.subjectFuzzy expert systemen_US
dc.subjectSymptompsen_US
dc.subjectTransmissible diseaseen_US
dc.titleThe design of fuzzy expert system implementation for analyzing transmissible disease of humanen_US
dc.title.alternativeInt. J. Pharm. Res.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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