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035 _a.b10074417
099 9 _aAIT Thesis no.ST-92-05
100 1 _aKaming, Peter Fortunatus
245 1 3 _aAn expert system for site productivity improvement
260 _aBangkok :
_bAsian Institute of Technology,
_c1992
300 _a92, [31] leaves
490 1 _aThesis ;
_vno. ST-92-05
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
502 _aThesis (M.Eng.) - Asian Institute of Technology, 1992
520 _aThe past site productivity model has been reviewed, and a new model is introduced in this study. Based on the proposed model, an advisory expert system for improving site productivity has been created using the expert system shell EXSYS Multiple Criteria Weighting Technique, is adopted for developing the expert system. Knowledge bases is acquired from experts, textbooks, and current articles in journals. Knowledge representation uses IF - THEN - ELSE structure production system, and inference mechanism utilized backward chaining strategy. The expert system consists of four modules: Method and Technology, Site Management, Working Environment, and Motivation which can be run separately. Some issues regarding application of fuzzy set theory and multiple criteria weighting tech nique, multiple experts handling, validation expert system, and applying Analytical Hierarchical Process in rating the factors that affect site productivity were also examined. The current system need to be tested on site before it can be installed for daily use.
650 0 _aExpert systems (Computer science)
650 0 _aConstruction industry
_xManagement
700 1 _aOgunlana, Stephen O.,
_eChairperson
700 0 _aWorsalc Kanok-Nukulchai,
_eExamination committee
700 0 _aPrapon Phasukyud,
_eExamination committee
710 2 _aUniversity of Atmajaya Yogyakarta,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. ST-92-05
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B16878
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