The development of an online knowledge-based expert system for machinability data selection
The development and implementation of an online knowledge-based system for machinability data selection is presented. Fuzzy logic has been incorporated as the reasoning mechanism behind the system. The system has been developed using object oriented programming, dynamic link library and Active-X con...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2003
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112667/ http://psasir.upm.edu.my/id/eprint/112667/1/112667.pdf |
| _version_ | 1848866004878229504 |
|---|---|
| author | Wong, S.V. Hamouda, A.M.S. |
| author_facet | Wong, S.V. Hamouda, A.M.S. |
| author_sort | Wong, S.V. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The development and implementation of an online knowledge-based system for machinability data selection is presented. Fuzzy logic has been incorporated as the reasoning mechanism behind the system. The system has been developed using object oriented programming, dynamic link library and Active-X control. It has been incorporated and tested into Internet and Intranet environment. Possible implementations of the system are suggested to work on real-world environment. A simplified fuzzy set-handling object has been developed in order to save resources. Weighted-centroid rather than union centroid has been used in output defuzzification. Comparison between these two methods is made and discussed. |
| first_indexed | 2025-11-15T14:13:43Z |
| format | Article |
| id | upm-112667 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:13:43Z |
| publishDate | 2003 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1126672025-03-05T08:30:04Z http://psasir.upm.edu.my/id/eprint/112667/ The development of an online knowledge-based expert system for machinability data selection Wong, S.V. Hamouda, A.M.S. The development and implementation of an online knowledge-based system for machinability data selection is presented. Fuzzy logic has been incorporated as the reasoning mechanism behind the system. The system has been developed using object oriented programming, dynamic link library and Active-X control. It has been incorporated and tested into Internet and Intranet environment. Possible implementations of the system are suggested to work on real-world environment. A simplified fuzzy set-handling object has been developed in order to save resources. Weighted-centroid rather than union centroid has been used in output defuzzification. Comparison between these two methods is made and discussed. Elsevier BV 2003 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/112667/1/112667.pdf Wong, S.V. and Hamouda, A.M.S. (2003) The development of an online knowledge-based expert system for machinability data selection. Knowledge-Based Systems, 16 (4). pp. 215-229. ISSN 0950-7051 https://www.sciencedirect.com/science/article/pii/S0950705102000837?via%3Dihub 10.1016/S0950-7051(02)00083-7 |
| spellingShingle | Wong, S.V. Hamouda, A.M.S. The development of an online knowledge-based expert system for machinability data selection |
| title | The development of an online knowledge-based expert system for machinability data selection |
| title_full | The development of an online knowledge-based expert system for machinability data selection |
| title_fullStr | The development of an online knowledge-based expert system for machinability data selection |
| title_full_unstemmed | The development of an online knowledge-based expert system for machinability data selection |
| title_short | The development of an online knowledge-based expert system for machinability data selection |
| title_sort | development of an online knowledge-based expert system for machinability data selection |
| url | http://psasir.upm.edu.my/id/eprint/112667/ http://psasir.upm.edu.my/id/eprint/112667/ http://psasir.upm.edu.my/id/eprint/112667/ http://psasir.upm.edu.my/id/eprint/112667/1/112667.pdf |