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An identification algorithm in fuzzy relational systems
- aDepartment of Automatic Control and Computer Science, Silesian Technical University, 44-100 Gliwice, Pstrowskiego 16, Poland
- ✉Corresponding author
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Abstract
Abstract The paper presents an effective identification method in fuzzy relational systems. We propose an algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques. The usefulness of the method provided is demonstrated by means of two numerical examples. Also a possible way of generating a linguistic decision-making algorithm is discussed.
TL;DRAn algorithm for constructing models on the basis of fuzzy and nonfuzzy data with the aid of fuzzy discretization and clustering techniques is proposed. (Semantic Scholar)