Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/133343
Title: Fuzzy Logic for medical expert systems.
Authors: Halim, M. 
Ho, K.M.
Liu, A. 
Issue Date: Sep-1990
Source: Halim, M., Ho, K.M., Liu, A. (1990-09). Fuzzy Logic for medical expert systems.. Annals of the Academy of Medicine Singapore 19 (5) : 672-683. ScholarBank@NUS Repository.
Abstract: The use of linguistic approximation enables knowledge to be represented in a more meaningful way and this is especially important in medical domain as it involves a lot of subjective decision making; Fuzzy Logic, introduced by Zadeh, has the ability to represent this imprecise expression. In this paper, an alternative approach of Fuzzy Logic in handling the approximate reasoning in expert systems will be described. The approach does not use the General Modus Ponen on the compositional rule of inference, but instead it uses a collection of rules to specify the properties of the inference (in making decision). An example of medical domain is described as its application.
Source Title: Annals of the Academy of Medicine Singapore
URI: http://scholarbank.nus.edu.sg/handle/10635/133343
ISSN: 03044602
Appears in Collections:Staff Publications

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