Fuzzy expert system package for the assessment of marine technology training programs
There are many education and training packages in marine technologies around Malaysia. According to usual practice, it takes about four months for each training package to be assessed. So if it is not up to the minimum requirement, it is difficult for the provider or the students to make changes in...
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my-utm-ep.100682018-06-25T01:30:59Z Fuzzy expert system package for the assessment of marine technology training programs 2009-05 Abdul Hamid, Shamsul Effendy TJ Mechanical engineering and machinery VM Naval architecture. Shipbuilding. Marine engineering There are many education and training packages in marine technologies around Malaysia. According to usual practice, it takes about four months for each training package to be assessed. So if it is not up to the minimum requirement, it is difficult for the provider or the students to make changes in the middle of the course. In this study, a fuzzy expert system was designed to provide an alternative way to assess a marine technology training program. This method incorporated fuzzy method with expert system and multi-criteria decision making technique. The entire process was programmed using FORTRAN and Microsoft Excel. Three marine programs from three different education providers were tested. Set of data inserted and the outcomes were analyzed. The results showed that the fuzzy expert system developed is reliable, user friendly and flexible. 2009-05 Thesis http://eprints.utm.my/id/eprint/10068/ http://eprints.utm.my/id/eprint/10068/1/ShamsulEffendyAbdulMFKM2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering Chen, S. H., (1985), Ranking Fuzzy Members with Maximizing Set and Minimizing Set, Fuzzy Sets System, 17, pp. 113 – 129. Engineering Accreditation Council, (2007), Engineering Programme Accreditation Manual, Board of Engineer Malaysia, Malaysia. Karsak, E. E., Tolga, E., (2001), Fuzzy Multi-Criteria Decision Making Procedure for Evaluating Advanced manufacturing System Investments, Int. J. Production Economics 69 (2001) pp. 49 – 64. Lembaga Akreditasi Negara, (2002), “Garis Panduan Kriteria Dan Standard Kursus Pengajian IPTS, Kementerian Pengajian Tinggi Malaysia. Liebowitz.J, Potter.W.E., (1995), Scheduling objectives, requirement, resources, contraints, and process: Implications for a Generic Expert Scheduling system Architecture and Toolkit, Expert system with Application 9(3) (1995) pp. 423-432. Malaysian Qualification Agency, (2008), Code of Practice for Institutional Audit, Kementerian Pengajian Tinggi Malaysia. Malaysian Qualification Agency, (2008), Code of Practice for Programme Accreditation, Kementerian Pengajian Tinggi Malaysia. Nagoita, C. V., (1986), Expert Systems and Fuzzy Systems, The Benjamin/Cummings, California. Wang. W, Fenton. N., (2005), Risk and Confidence Analysis for Fuzzy Multicriteria Decision Making. http://www.dcs.qmul.ac.uk/~norman/papers/Wang_Fenton_Risk_and_Confidence.pdf Wentworth, J., Knaus, R., & Aougab, H., (1999). FHWA Handbook: Verification, Validation, and Evaluation of Expert Systems. McLean, VA: Turner-Fairbank Highway Research Center. Yen, D. C. and Davis, W. S., (1999), Expert System Analysis and Design; as a chapter in Introduction System’s Consultant’s Handbook: System Analysis and Design; CRC Press LRC. Zadeh, L. A., (1965), Systems Theory: Fuzzy Sets and Systems, ed. J. Fox, pp. 29-37, Polytechnic Press, Brooklyn NY. Zamani, M., (2005), The Application of Fuzzy Expert System to Preliminary Development Planning of Medium Size Container Terminal, Doctor of Engineering (Marine Technology) Thesis, Universiti Teknologi Malaysia. |
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TJ Mechanical engineering and machinery TJ Mechanical engineering and machinery Abdul Hamid, Shamsul Effendy Fuzzy expert system package for the assessment of marine technology training programs |
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There are many education and training packages in marine technologies around Malaysia. According to usual practice, it takes about four months for each training package to be assessed. So if it is not up to the minimum requirement, it is difficult for the provider or the students to make changes in the middle of the course. In this study, a fuzzy expert system was designed to provide an alternative way to assess a marine technology training program. This method incorporated fuzzy method with expert system and multi-criteria decision making technique. The entire process was programmed using FORTRAN and Microsoft Excel. Three marine programs from three different education providers were tested. Set of data inserted and the outcomes were analyzed. The results showed that the fuzzy expert system developed is reliable, user friendly and flexible. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Abdul Hamid, Shamsul Effendy |
author_facet |
Abdul Hamid, Shamsul Effendy |
author_sort |
Abdul Hamid, Shamsul Effendy |
title |
Fuzzy expert system package for the assessment of marine technology training programs |
title_short |
Fuzzy expert system package for the assessment of marine technology training programs |
title_full |
Fuzzy expert system package for the assessment of marine technology training programs |
title_fullStr |
Fuzzy expert system package for the assessment of marine technology training programs |
title_full_unstemmed |
Fuzzy expert system package for the assessment of marine technology training programs |
title_sort |
fuzzy expert system package for the assessment of marine technology training programs |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Mechanical Engineering |
granting_department |
Faculty of Mechanical Engineering |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/10068/1/ShamsulEffendyAbdulMFKM2009.pdf |
_version_ |
1747814793257943040 |