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


Vol. 11,  No. 7, pp. 855-860, Dec.  2004
10.3745/KIPSTB.2004.11.7.855


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  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-IDS-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.

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[IEEE Style]

W. S. Hyun, "Fuzzy Rule Generation and Optimization for the Intelligent Diagnosis System of Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products," The KIPS Transactions:PartB , vol. 11, no. 7, pp. 855-860, 2004. DOI: 10.3745/KIPSTB.2004.11.7.855.

[ACM Style]

Woo Seok Hyun. 2004. Fuzzy Rule Generation and Optimization for the Intelligent Diagnosis System of Diseases associated with Acute Abdominal Pain Based on Fuzzy Relational Products. The KIPS Transactions:PartB , 11, 7, (2004), 855-860. DOI: 10.3745/KIPSTB.2004.11.7.855.

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