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Brief Introduction to Type-3 Fuzzy Rules

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12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022) (WCIS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 718))

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Abstract

This paper suggests a study on the introduction and development in the theory of interval type-3 fuzzy system (IT3FS). It covers a) comprehensive analysis of experiments on the investigation of IT3FS, b) the structure of type-3 fuzzy numbers (T3FN) which are considered as a new generation in fuzzy logic theory, c) brief difference between type-3 fuzzy rules and other well-known approaches such as interval type-1 and type-2 fuzzy rules, d) description and importance of fuzzy rules containing with T3FN, e) some potential areas of future investigation. The theory of IT3FS still possesses unclear and unresolved problems as much as it has a great attraction. On the other hand, its practicality is very scary and requires investigation. Therefore, this article reflects the investigation and analysis of IT3FS. To ensure effectiveness of suggested method type-3-based fuzzy rules are described.

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Author information

Authors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Azadlyg Avenue 34, AZ1010, Baku, Azerbaijan

    Nigar E. Adilova

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  1. Nigar E. Adilova
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Correspondence to Nigar E. Adilova .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    R. A. Aliev

  2. Department Automation of Production Processes, Tashkent State Technical University, Tashkent, Uzbekistan

    Nodirbek Rustambekovich Yusupbekov

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

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    M. B. Babanli

  6. Department of Computer Engineering, Near East University, Nicosia, Türkiye

    Fahreddin M. Sadikoglu

  7. Tashkent State Technical University, Tashkent, Uzbekistan

    S. M. Turabdjanov

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Adilova, N.E. (2024). Brief Introduction to Type-3 Fuzzy Rules. In: Aliev, R.A., et al. 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). WCIS 2022. Lecture Notes in Networks and Systems, vol 718. Springer, Cham. https://doi.org/10.1007/978-3-031-51521-7_22

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