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DC FieldValueLanguage
dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorChoi, Chu-fan-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/2144-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleA fuzzy expert system for tender mark-up adjudicationen_US
dcterms.abstractThe process of tender mark-up adjudication in construction tendering is a subjective exercise based on expert knowledge. This knowledge is usually restricted to a few experts or the top management in a construction company. Further, the knowledge itself is generally heuristics and experiences of the human expert concerned and hence it is uncertain, imprecise and perhaps fuzzy in its nature. Systematic organization of this knowledge will certainly be invaluable for construction companies. In this connection, a fuzzy expert system for tender mark-up adjudication, FESTMA, is built that acquires and systematically organizes the expert knowledge of its human counterparts and gives output of recommended mark-up percentage. FESTMA is aimed at helping the less-experienced people in the construction industry to exercise the expert knowledge in tender mark-up adjudication. FESTMA can also aid the experienced experts by providing them with a systematic base of decision making thereby minimizing mistakes due to natural human errors. Results of empirical tests show that the recommendations made by FESTMA and by human experts are significantly no different and correlated. Further researches are suggested in the end to polish and refine the fuzzy expert system.en_US
dcterms.extent97 leaves : ill. (some col.) ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued1999en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHConstruction industry -- Data processingen_US
dcterms.LCSHExpert systems (Computer science)en_US
dcterms.LCSHFuzzy systemsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/2144