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http://dx.doi.org/10.3745/KIPSTB.2004.11B.7.855

Fuzzy Rule Generation and Optimization for the Intelligent Diagnosis System of Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products  

Hyun Woo-Seok (한국성서대학교 정보과학부)
Publication Information
The KIPS Transactions:PartB / v.11B, no.7, 2004 , pp. 855-860 More about this Journal
Abstract
This paper describes knowledge base optimization of an intelligent diagnosis system based on fuzzy relational products(IDS-DAAP) for the diseases with acute abdominal Pain. The knowledge base of IDS-DAAP is composed of the fuzzy rules and the fuzzy membership functions. The author here proposes an advanced intelligent diagnosis system (A-lDS-DAAP) in which the fuzzy rule generation algorithm is applied. Comparing with previous IDS-DAAP and IDS-DAAP-NN, a modified approach with A-IDS-DAAP shows that it improves the diagnosis rate and reduces the time to diagnose.
Keywords
Intelligent System; Acute Abdominal Pain; Fuzzy Rule Generation;
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Times Cited By KSCI : 2  (Citation Analysis)
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