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Parallel optical fuzzy logic inference using a SLM-based architecture
Authors:Shuqun Zhang  Mohammad A Karim  
Institution:a Department of Computer Science, College of Staten Island, City University of New York, 2800 Victory Blvd., NY 10314, USA;b Department of Electrical and Computer Engineering, The University of Tennessee, 414 Ferris Hall, Knoxville, TN 37996-2100, USA
Abstract:A new optoelectronic fuzzy inference system is proposed for processing a large number of fuzzy rules in parallel. The proposed system using spatial light modulator implements various membership functions as well as max–min inference. It has the features of easy implementation and large data processing capability. The membership function decomposition method is used to save space bandwidth and accommodate multiple-input fuzzy inference.
Keywords:Fuzzy logic inference  Optical fuzzy system  Fuzzy associative memory
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