Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7710
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dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorSo Y.T.en_US
dc.contributor.authorLeung, Aresen_US
dc.contributor.authorWong, W.S.Felixen_US
dc.date.accessioned2023-03-31T03:31:46Z-
dc.date.available2023-03-31T03:31:46Z-
dc.date.issued1992-
dc.identifier.citationArtificial Intelligence In Medicine, 1992, vol. 4 (1), pp. 75 - 85en_US
dc.identifier.issn09333657-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7710-
dc.description.abstractAn 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.isoenen_US
dc.relation.ispartofArtificial Intelligence In Medicineen_US
dc.titleA fuzzy expert system shell: From minicomputer to PCen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1016/0933-3657(92)90038-Q-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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