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Fuzzy Transforms

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Part of the book series: Lecture Notes in Computer Science ((TRS,volume 3135))

Abstract

The technique of direct and inverse F–transforms is introduced and approximating properties of the inverse F–transform are described. Numerical methods based on fuzzy approximation models are developed. Among them are numeric integration and approximate solution of ordinary differential equations (the Cauchy problem). Advantages of the new technique based on F–transforms over some classical numeric methods are demonstrated on examples.

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References

  1. Novák, V., Perfilieva, I., Močkoř, J.: Mathematical Principles of Fuzzy Logic. Kluwer, Dordrecht (1999)

    MATH  Google Scholar 

  2. Perfilieva, I.: Logical approximation: General approach to the construction of approximating formulas. In: Proceedings EUSFLAT 2001, Leicester, Great Britain, pp. 9–11 (2001)

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  3. Perfilieva, I.: Neural nets and normal forms from fuzzy logic point of view. Neural Network World 11, 627–638 (2001)

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  4. Perfilieva, I.: Normal forms for fuzzy logic functions and their approximation ability. Fuzzy Sets and Systems 124, 371–384 (2001)

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  5. Perfilieva, I.: Logical approximation. Soft Computing 7 (2003) (to appear)

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  6. Perfilieva, I., Chaldeeva, E.: Fuzzy transformation. In: Proceedings IFSA 2001 World Congress, Vancouver, Canada (2001)

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© 2004 Springer-Verlag Berlin Heidelberg

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Perfilieva, I. (2004). Fuzzy Transforms. In: Peters, J.F., Skowron, A., Dubois, D., Grzymała-Busse, J.W., Inuiguchi, M., Polkowski, L. (eds) Transactions on Rough Sets II. Lecture Notes in Computer Science, vol 3135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27778-1_5

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  • DOI: https://doi.org/10.1007/978-3-540-27778-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23990-1

  • Online ISBN: 978-3-540-27778-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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