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박인규 ( In Kue Park ),신승중 ( Seung Joong Shin ),정광호 ( Kwang Ho Jung ) 한국감성과학회 2000 춘계학술대회 Vol.2000 No.-
The objective of this study is to design and evaluate a methodology for diagnosing the appendicitis in a fuzzy neuralnetwork that integrates the partition of input space by fuzzy entropy and the generation of fuzzy control rules andlearning algorithm. In particular the diagnosis of appendicitis depends on the rule of thumb of the experts such that itassociates with the region, the characteristics, the degree of the ache and the potential symptoms. In this schemethe basic idea is to realize the fuzzy rle base and the process of reasoning by neural network and to make thecorresponding parameters of the fuzzy control rules be adapted by back propagation learning rule. To eliminate thenumber of the parameters of the rules, the output of the consequences of the control rules is expressed by thenetwork`s connection weights. As a result we obtain a method for reducing the system`s complexities. Throughcomputer simulations the effectiveness of the proposed strategy is verified for the diagnosis of appendicitis.