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Hierarchical Fuzzy Logic Systems

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Abstract

The concept of fuzzy logic has created an immense interest for various research workers in the different fields. Various offshoots of fuzzy logic appeared in the literature during the last four decades or so. As the data involved for several applications has grown considerably, the number of rules of fuzzy systems for real-life applications has increased exponentially and is unmanageable. To reduce the complexity of a fuzzy system, hierarchical fuzzy logic emerged as one of the most viable options. This paper gives an introductory approach to design a system that includes various small dimension fuzzy subsystems, where all subsystems are arranged in a hierarchical structure. This approach handles large numbers of rules and paves a way to design advanced big data applications such as IoT, Intelligent systems, cyber security and WSNs.

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  1. Department of Electrical and Computer Engineering, Wayne State University College of Engineering, Farmington Hills, Detroit, MI, USA

    Shashank Kamthan & Harpreet Singh

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  1. Shashank Kamthan
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  2. Harpreet Singh
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Correspondence to Shashank Kamthan.

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Kamthan, S., Singh, H. Hierarchical Fuzzy Logic Systems. J. Inst. Eng. India Ser. B 103, 1167–1175 (2022). https://doi.org/10.1007/s40031-022-00728-4

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  • DOI: https://doi.org/10.1007/s40031-022-00728-4

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