The amalgamation of neural networks and fuzzy logic systems—A survey |
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Authors: | Timon Chih-Ting Du Philip M Wolfe |
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Affiliation: | Department of Industrial and Management Systems Engineering, Arizona State University, Tempe, AZ 85287-5906, U.S.A. |
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Abstract: | Both neural networks and fuzzy logic systems exhibit human-like mental processing. The similarities and dissimilarities of these two technologies, such as multi-layer operations of neural networks and max-min operation in fuzzy logic systems, make apparent that there are advantages to combining them. However, this was not done until the late 1980's. Surveying the literature revealed eight different approaches to combining the merits of fuzzy logic systems and neural networks. |
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