Optical Generation of Fuzzy Based Rules in a Dual Input Environment

Eran Gur*, David Mendlovic, Zeev Zalevsky

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


In the last third of the 20th century, Fuzzy Logic has risen from a mathematic concept to an applicable approach in soft computing. The approach of optical implementation of fuzzy inferencing was given by the authors in a previous work, giving an extra weight to applications with two dominant inputs. In this work the authors introduce a real time optical rule generator for the dual input fuzzy inference engine. Next, the concept of constructing a set of rules from a given data is discussed. Finally, the authors show ways to implement this procedure optically. The discussion is accompanied by an example illustrating the transformation from raw data into fuzzy set rules.

Original languageEnglish
Pages (from-to)409-410
Number of pages2
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4829 I
StatePublished - 2003
Event19th Congress of the International Commisssion for Optics Optics for the Quality of Life - Firenze, Italy
Duration: 25 Aug 200230 Aug 2002


  • Diffractive Optical Elements
  • Fuzzy Logic
  • Phase Elements


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