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Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 915))

Abstract

Combining Interval Type-2 Fuzzy Logic Systems with metaheuristics has shown in most investigations that better results are obtained than with Type-1 Fuzzy Logic Systems. In this comparative study, experiments were carried out with Type-1 and Interval Type-2 Fuzzy Logic Systems, each one in combination with the Flower Pollination Algorithm. In the modification of parameters, with this combination of hybrid methods we carried out the comparative study. Previously, experiments were carried out with the flower pollination algorithm and the Type-1 Fuzzy Logic System (T1FLS), with the results of both methods, and we have concluded that better results are obtained with the hybrid method of Interval Type-2 Fuzzy Logic System (IT2FLS) and the Flower Pollination Algorithm (FPA).

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Authors and Affiliations

  1. Tijuana Institute of Technology, Tijuana, BC, Mexico

    Hector Carreon & Fevrier Valdez

Authors
  1. Hector Carreon
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  2. Fevrier Valdez
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Correspondence to Fevrier Valdez .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Carreon, H., Valdez, F. (2021). Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Studies in Computational Intelligence, vol 915. Springer, Cham. https://doi.org/10.1007/978-3-030-58728-4_8

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