JACIII Vol.15 No.3 pp. 313-320
doi: 10.20965/jaciii.2011.p0313


Performance Optimization of the Fuzzy Rule Interpolation Method “FIVE”

Dávid Vincze and Szilveszter Kovács

Department of Information Technology, University of Miskolc, Miskolc, Hungary

January 5, 2011
March 28, 2011
May 20, 2011
fuzzy rule interpolation (FRI), FRI FIVE implementation, FRI performance optimization, FRIQlearning
Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge-representation with relatively few rules. In spite of their good knowledge representation efficiency, their high computational demand makes the FRI methods hardly suitable for embedded real-time applications, for which short reasoning time has a high importance. On the other hand, the fact that currently available devices have increased computational power gives the FRI methods an opportunity to appear in real-time embedded applications. Therefore, the need for a low-computation and lowresource-demand FRI method is emerging. The goal of this paper is to introduce some implementation details of such an FRI method, together with its brief time and space complexity analysis. The paper also gives some hints for further performance optimization possibilities.
Cite this article as:
D. Vincze and S. Kovács, “Performance Optimization of the Fuzzy Rule Interpolation Method “FIVE”,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.3, pp. 313-320, 2011.
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