Review: Meta knowledge of intelligent manufacturing: An overview of state-of-the-art
Applied Soft Computing
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Diagnosis of psychosomatic disorders using radial basis functions network
EHAC'05 Proceedings of the 4th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An investigation of neuro-fuzzy systems in psychosomatic disorders
Expert Systems with Applications: An International Journal
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Diagnosing electronic systems for symptoms supplied by customers is often difficult as human descriptions of symptoms are for the most part uncertain and ambiguous. As a result, traditional expert systems are not effective in providing reliable analysis, often require a large set of rules, and lack flexibility in terms of learning and modification. In this paper, we propose a fuzzy logic-based neural network (FLBN) to develop a case-based system for diagnosing symptoms in electronic systems. We demonstrate through data obtained from a real call-log database that the FLBN is able to perform fuzzy AND/OR logic rules and to learn from samples. Such a system is simple to develop and can achieve the performance similar to that of the human expert