Journal of Applied Sciences ›› 2006, Vol. 24 ›› Issue (5): 474-478.

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Skin Symptom Fuzzy Inferential System Based on Semantic Network

LIU Jing1, HU Yue-li1, CAO Jia-lin1,2   

  1. 1. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai 200072, China;
    2. Advanced Power System & Power Station Automation, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2005-06-29 Revised:2005-11-16 Online:2006-09-30 Published:2006-09-30

Abstract: Aiming at knowledge representation problem of intelligent diagnostic system for skin microscopic images, semantic network knowledge representation is discussed.A skin symptom fuzzy inferential system based on semantic network is proposed by introducing the fuzzy inference to recognition and classification of skin microscopic images.A kind of skin symptom semantic network and the fuzzy inference recognition arithmetic are discussed.Experimental results show that the system is suited to identification of different skin symptoms with a high correct rates.

Key words: semantic network, skin symptom, automatic recognition, fuzzy inference

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