Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7710
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Prof. LEUNG Kwong Sak | en_US |
dc.contributor.author | So Y.T. | en_US |
dc.contributor.author | Leung, Ares | en_US |
dc.contributor.author | Wong, W.S.Felix | en_US |
dc.date.accessioned | 2023-03-31T03:31:46Z | - |
dc.date.available | 2023-03-31T03:31:46Z | - |
dc.date.issued | 1992 | - |
dc.identifier.citation | Artificial Intelligence In Medicine, 1992, vol. 4 (1), pp. 75 - 85 | en_US |
dc.identifier.issn | 09333657 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/7710 | - |
dc.description.abstract | An expert system shell (SYSTEM Z-II) based on fuzzy logic and numbers was built in a minicomputer environment. Z-II was proved to be a successful and powerful expert system building tool because it can handle both exact and inexact reasoning. Its third generation, Z-III, is developed in a PC environment and includes some new enhancement features compared to Z-II. In this paper, the development process of Z-III is described. Two medical expert systems in the field of obstetrics have been built successfully using Z-III. A comparative performance evaluation between Z-II and Z-III using a third expert system is given. It is concluded that the implementation of Z-III in a PC environment is not only feasible but also increases user-friendliness and availability of such expert system shells. © 1992. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Artificial Intelligence In Medicine | en_US |
dc.title | A fuzzy expert system shell: From minicomputer to PC | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1016/0933-3657(92)90038-Q | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Applied Data Science - Publication |
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