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Approximate Solutions of Fuzzy Relation Equations

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Part of the book series: Theory and Decision Library ((TDLD,volume 3))

Abstract

In the previous Chs. we have discussed various problems concerning solutions of fuzzy relation equations. Obviously an underlying assumption is that there exists a nonempty set of solutions. A situation, may occurr, and indeed it is quite common, in which no solution exists. Nevertheless even in this case one might be interested to obtain an approximate solution and know to which extent it can be viewed as a solution. This stream of investigations is particularly interesting for applicational purposes. Contrary to the topics already discussed in the previous Chs., this is a field of research which has not been developed enough so far. It concerns studies on solvability properties of fuzzy relation equations. In this Ch., we shall try to answer, by using several techniques, the following basic question: how difficult is it to attain a situation in which the system of equations has solutions and then how to measure this property?

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References

  1. G. Ball and A. Hall, A clustering technique for summarizing multivariate data, Behay. Sci. 12 (1967), 153–155.

    Article  Google Scholar 

  2. J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.

    Book  MATH  Google Scholar 

  3. A. Di Nola, W. Pedrycz and S. Sessa, A study on approximate reasoning mechanisms via fuzzy relation equations, Internat. J. Approx. Theory,to appear.

    Google Scholar 

  4. S. Gottwald and W. Pedrycz, Solvability of fuzzy relational equations and manipulation of fuzzy data, Fuzzy Sets and Systems 18 (1986), 45–65.

    Article  MathSciNet  MATH  Google Scholar 

  5. K. Hirota, Concept of probabilistic sets, Fuzzy Sets and Systems 5 (1981), 31–46.

    Article  MathSciNet  MATH  Google Scholar 

  6. K. Hirota and W. Pedrycz, Fuzzy system identification via probabilistic sets, Inform. Sciences 28 (1982), 21–43.

    Article  MathSciNet  MATH  Google Scholar 

  7. K. Hirota and W. Pedrycz, Analysis and synthesis of fuzzy systems by the use of probabilistic sets, Fuzzy Sets and Systems 10 (1983), 1–13.

    Article  MathSciNet  MATH  Google Scholar 

  8. W. Pedrycz, Structured fuzzy models, Cybernetics and Systems 16 (1985), 103–117.

    Article  Google Scholar 

  9. W. Pedrycz, Approximate solutions of fuzzy relation equations, Fuzzy Sets and Systems 28 (1988), 183–202.

    Article  MathSciNet  MATH  Google Scholar 

  10. W. Pedrycz, Algorithms for solving fuzzy relational equations in a probabilistic setting, submitted.

    Google Scholar 

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© 1989 Springer Science+Business Media Dordrecht

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di Nola, A., Sessa, S., Pedrycz, W., Sanchez, E. (1989). Approximate Solutions of Fuzzy Relation Equations. In: Fuzzy Relation Equations and Their Applications to Knowledge Engineering. Theory and Decision Library, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1650-5_10

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  • DOI: https://doi.org/10.1007/978-94-017-1650-5_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4050-3

  • Online ISBN: 978-94-017-1650-5

  • eBook Packages: Springer Book Archive

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