Abstract
In this chapter, an approach to the design of rule-based systems within the framework of fuzzy relational calculus is proposed. The system of fuzzy relations serves as the generator of the rule-based solutions of fuzzy relational equations. Each solution represents a different trade-off between the classification accuracy and the number of fuzzy rules. The accuracy-complexity trade-off is achieved by optimization of the total number of decision classes for relations and rules.
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© 2014 Springer International Publishing Switzerland
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Rotshtein, A.P., Rakytyanska, H.B. (2014). Optimal Design of Rule-Based Systems by Solving Fuzzy Relational Equations. In: S. Hippe, Z., L. Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Issues and Challenges in Artificial Intelligence. Studies in Computational Intelligence, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-06883-1_14
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DOI: https://doi.org/10.1007/978-3-319-06883-1_14
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