Halim M, Ho K M, Liu A
Institute of Systems Science, National University of Singapore.
Ann Acad Med Singap. 1990 Sep;19(5):672-83.
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.
语言近似法的使用能够以更有意义的方式呈现知识，这在医学领域尤为重要，因为该领域涉及大量主观决策；扎德提出的模糊逻辑能够表示这种不精确的表达。本文将描述模糊逻辑在处理专家系统中的近似推理时的一种替代方法。该方法不使用推理合成规则中的通用假言推理，而是使用一组规则来指定推理（在做决策时）的属性。文中描述了一个医学领域的例子作为其应用。
