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  1. www.intechopen.com › chapters › 55361Fuzzy Interpolation Systems and Applications | IntechOpen

    20 de oct. de 2016 · This chapter systematically reviews different types of fuzzy interpolation approaches and their variations, in terms of both the interpolation mechanism (inference engine) and sparse rule base generation.

  2. link.springer.com › article › 10Approximate reasoning with fuzzy rule interpolation: background...

    5 de jun. de 2021 · Fuzzy rule interpolation (FRI) facilitates approximate reasoning in fuzzy rule-based systems when only sparse knowledge is available (Kóczy and Hirota 1993a, b). It addresses the key limitation of CRI that requires a dense fuzzy rule base which fully covers the entire problem domain.

  3. Imágenes

    • Figure 1 from Fuzzy Interpolation Systems and Applications | Semantic ...
    • Fuzzy interpolation concept | Download Scientific Diagram
    • Fuzzy interpolation procedure [48] | Download Scientific Diagram
    • PPT - Fuzzy Rule Interpolation for Multidimensional Input Spaces With ...

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  4. ieeexplore.ieee.org › document › 4358815Fuzzy Interpolation and Extrapolation: A Practical Approach |...

    26 de feb. de 2008 · Abstract: Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to systems control, but limited work exists for its applications to tasks like prediction and classification.

  5. ieeexplore.ieee.org › document › 8125710Dynamic Fuzzy Rule Interpolation and Its Application to Intrusion...

    4 de dic. de 2017 · This paper presents a dynamic fuzzy rule interpolation (D-FRI) approach by exploiting such interpolated rules in order to improve the overall system's coverage and efficacy. The resulting D-FRI system is able to select, combine, and generalize informative, frequently used interpolated rules for merging with the existing rule base while ...

  6. link.springer.com › chapter › 10Practical Aspects of Fuzzy Rule Interpolation | SpringerLink

    The number of the Fuzzy Rule Interpolation (FRI) applications in engineering tasks is still insignificant compared to the classical fuzzy reasoning methods. The main goal of this paper is to emphasize the benefits of the direct (embedded) applicability of fuzzy rule...

  7. ieeexplore.ieee.org › document › 8886596A New Approach for Transformation-Based Fuzzy Rule Interpolation

    As one of the most popular FRI methods, transformation-based fuzzy rule interpolation (TFRI) works by constructing an intermediate fuzzy rule, followed by running scale and move transformations. The process of intermediate rule construction selects a user-defined number of rules closest to an observation that does not match any existing rule ...

  8. www.researchgate.net › publication › 267207719_Fuzzy_Rule_Interpolation_andFuzzy Rule Interpolation and Extrapolation Techniques: Criteria...

    1 de may. de 2011 · Because extrapolation techniques are usually exten-sions of fuzzy rule interpolation, we treat them both as approximation techniques designed to be applied where sparse or incomplete...