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

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


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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