Skip to main content
Log in

Solution of Fuzzy Equations with Max-Product Composition in Inverse Control and Decision Making Problems

  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

A system of “max-product” type of equations, to which many inverse problems of fuzzy sets and relations, is solved. The minimal solution of this type of equations is determined from the solution of covering problems, which are NP-complete problems. A compatibility criterion for a system and redundancy criteria for equations and variables are formulated in terms of coverings. Possibilities for the reduction of the dimension of a covering problem and its solution methods are examined.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

REFERENCES

  1. Terano, T., Asai, K., and Sugeno, M., Applied Fuzzy Systems, Boston: AP Professional, 1994. Translated under the title Prikladnye nechetkie sistemy, Moscow: Mir, 1993.

    Google Scholar 

  2. Kuz'min, V.B. and Travkin, S.I., Theory of Fuzzy Sets in Control Problems and Design of Fuzzy Processors: A Review of Foreign Literature, Avtom. Telemekh., 1992, no. 11, pp. 3–36.

    Google Scholar 

  3. Nechetkie mnozhestva v modelyakh upravleniya i iskusstvennogo intellekta (Fuzzy Sets in Control and Artificial Intelligence Models), Pospelov, D.A., Ed., Moscow: Nauka, 1986.

    Google Scholar 

  4. Pappis, C.P. and Sugeno, M., Fuzzy Relational Equations and the Inverse Problem, Fuzzy Set s Syst., 1985, vol. 15, pp. 79–90.

    Google Scholar 

  5. Pappis, C.P. and Adamopoulos, G.I., A Software Routine to Solve the Generalized Inverse Problem of Fuzzy Relational Equations, Fuzzy Sets Syst., 1992, vol. 47, pp. 319–322.

    Google Scholar 

  6. Adamopoulos, G.I. and Pappis, C.P., An Algorithmic Approach to Some Special Cases of the Generalized Inverse Problem, Fuzzy Set s Syst., 1995, vol. 72, pp. 125–127.

    Google Scholar 

  7. Bourke, M.M. and Fisher, D.G., Solution Algorithms for Fuzzy Relational Equations with Max-Product Composition, Fuzzy Set s Syst., 1998, vol. 94, pp. 61–69.

    Google Scholar 

  8. Loetamonphong, J. and Fang, S-Ch., Optimization of Fuzzy Equations with Max-Product Composition, Fuzzy Set s Syst., 2001, vol. 118, pp. 509–517.

    Google Scholar 

  9. Miyakoshi, M. and Shimbo, M., Lower Solution of Systems of Fuzzy Equations, Fuzzy Set s Syst., 1986, vol. 19, pp. 37–46.

    Google Scholar 

  10. Cormen, T.H., Leiserson, C.E., and Rivest, R.L., Introduction to Algorithms, New York: McGraw-Hill, 1990. Translated under the title Algoritmy: postroenie i analiz, Moscow: MNTsMO, 2002.

    Google Scholar 

  11. Garey, M.R. and Johnson, D.S., Computers and Intractability: A Guide to the Theory of NP-Completeness, San Francisco: Freeman, 1979. Translated under the title Vychislitel'nye mashiny i trudnoreshaemye zadachi, Moscow: Mir, 1982.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Markovskii, A.V. Solution of Fuzzy Equations with Max-Product Composition in Inverse Control and Decision Making Problems. Automation and Remote Control 65, 1486–1495 (2004). https://doi.org/10.1023/B:AURC.0000041426.51975.50

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:AURC.0000041426.51975.50

Keywords

Navigation