Applications of Fuzzy Sets Theory in Pattern Recognition
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A brief introduction of applications of Fuzzy Sets theory in pattern recognition is given in this paper. The basic knowledge of Fuzzy Sets theory is first presented, followed with several different methods of realization of Fuzzy Pattern Recognition, including Maximal Membership Rule method, Near Selection method, Fuzzy Clustering method, Relative Membership Rule method. Comparison is made among the four.