Abstract
We describe in this paper a proposed approach for approximating the fuzzy inference process in intuitionistic fuzzy systems. The new approach combines the outputs of two traditional type-1 fuzzy systems to obtain the final output of the intuitionistic fuzzy system. The new method provides an efficient way of calculating the output of an intuitionistic fuzzy system and as consequence can be applied to real-world problems in many areas of application. We illustrate the new approach with a simple example to motivate the ideas behind this work. We also illustrate the new approach for fuzzy inference with a more complicated example of monitoring a non-linear dynamic plant.
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Castillo, O. (2019). Approximation of Intuitionistic Fuzzy Systems for Time Series Analysis in Plant Monitoring and Diagnosis. In: Melliani, S., Castillo, O. (eds) Recent Advances in Intuitionistic Fuzzy Logic Systems. Studies in Fuzziness and Soft Computing, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-02155-9_8
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DOI: https://doi.org/10.1007/978-3-030-02155-9_8
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