OSA's Digital Library

Applied Optics

Applied Optics


  • Vol. 39, Iss. 2 — Jan. 10, 2000
  • pp: 333–336

Discussion on multidimensional fuzzy control

Zeev Zalevsky, David Mendlovic, and Eran Gur  »View Author Affiliations

Applied Optics, Vol. 39, Issue 2, pp. 333-336 (2000)

View Full Text Article

Enhanced HTML    Acrobat PDF (107 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools



Fuzzy-logic inference engines are in use in various disciplines such as control systems, medicine, and the like. The use of optical tools to implement such engines may improve the performance and the flexibility of inference procedures. The optical processor works in a two-dimensional environment, whereas the inference engine might have to handle more than two independent input channels. Here several approaches to generating the first, to our knowledge, N-dimensional optical fuzzy processor are addressed. The first approach uses space multiplexing, the second approach uses polarization multiplexing, and the third approach uses wavelength multiplexing to increase the dimension of the processor.

© 2000 Optical Society of America

OCIS Codes
(050.1970) Diffraction and gratings : Diffractive optics
(070.4560) Fourier optics and signal processing : Data processing by optical means
(200.4660) Optics in computing : Optical logic

Original Manuscript: June 7, 1999
Revised Manuscript: September 13, 1999
Published: January 10, 2000

Zeev Zalevsky, David Mendlovic, and Eran Gur, "Discussion on multidimensional fuzzy control," Appl. Opt. 39, 333-336 (2000)

Sort:  Author  |  Year  |  Journal  |  Reset  


  1. P. J. King, E. H. Mamdani, “The application of fuzzy control systems to industrial processes,” Automatica 13, 235–242 (1977). [CrossRef]
  2. K. Saito, H. Hashimoto, M. Echigo, A. Uchiyama, “A fatty liver diagnosis support system using fuzzy theory,” Trans. Inst. Electron. Eng. Jpn. Sect. C 115, 127–132 (1995).
  3. P. Ramaswamy, R. M. Edwards, K. Y. Lee, “An automatic tuning method of a fuzzy logic controller for nuclear reactors,” IEEE Trans. Nucl. Sci. 40, 1253–1262 (1994).
  4. L. A. Zadeh, “Fuzzy sets,” Inf. Control 8, 338–353 (1965). [CrossRef]
  5. M. Schneider, A. Kandel, G. Langholz, G. Chew, Fuzzy Expert System Tools (Wiley, New York, 1996), Chap. 9, pp. 133–135; Chap. 10, pp. 159–176.
  6. E. Gur, D. Mendlovic, Z. Zalevsky, “Optical implementation of fuzzy-logic controllers: part I,” Appl. Opt. 37, 6937–6945 (1998). [CrossRef]
  7. W. Pritzik, Fuzzy Control and Fuzzy Systems, 2nd extended ed. (Research Studies Press, Wiley, New York, 1993), Chap. 6, pp. 157–176.
  8. J. W. Goodman, Introduction to Fourier Optics, 2nd ed., (McGraw-Hill, New York, 1996), Chap. 7, p. 207.

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited