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Optimal Design of Rule-Based Systems by Solving Fuzzy Relational Equations

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 559)

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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Jerusalem College of Technology—Machon LevJerusalemIsrael
  2. 2.Vinnitsa National Technical UniversityVinnitsaUkraine

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