Optical generation of fuzzy-based rules

Eran Gur, David Mendlovic, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In the last third of the 20th century, fuzzy logic has risen from a mathematical concept to an applicable approach in soft computing. Today, fuzzy logic is used in control systems for various applications, such as washing machines, train-brake systems, automobile automatic gear, and so forth. The approach of optical implementation of fuzzy inferencing was given by the authors in previous papers, giving an extra emphasis to applications with two dominant inputs. In this paper the authors introduce a real-time optical rule generator for the dual-input fuzzy-inference engine. The paper briefly goes over the dualinput optical implementation of fuzzy-logic inferencing. Then, the concept of constructing a set of rules from given data is discussed. Next, the authors show ways to implement this procedure optically. The discussion is accompanied by an example that illustrates the transformation from raw data into fuzzy set rules.

Original languageEnglish
Pages (from-to)4753-4761
Number of pages9
JournalApplied Optics
Volume41
Issue number23
DOIs
StatePublished - 10 Aug 2002
Externally publishedYes

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