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Utilizing enhanced membership functions to improve the accuracy of a multi-inputs and single-output fuzzy system

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Abstract

Primarily the successful implementation of a fuzzy logic system (FLS) depends on some subjective decision-making parameters, for example, membership function (MF). Compared with the input MF, the FLS executes an enhanced output MF to increase the performance, accuracy, and robustness of the FLS. The most suitable relation between input and output MFs is presented to allocate the identical input MFs and enhanced output MFs in the discourse. Various simulations of the 4-Inputs 1-Output FLS are carried out in numerous non-linear processes. Then under similar circumstances, compare the experimental results of identical distribution and enhanced distribution output MFs. Experimental results and simulation results are in a benign contract. Experimental results show that the root mean square error (RMSE) is decreased by about 59.8%, and the relative error is reduced to an acceptable range (≤± 10%). The RMSE is reduced by FLS with enhanced distributed output MFs, which improves control accuracy and improves robustness. In addition, the efficiency of the cost and energy of any FLS will be enhanced by using the most suitable relation of input and output MFs to achieve enhanced distributed output MFs.

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Acknowledgements

This research work was carried out in the laboratories of the Department of Computer Science and Department of Physics (Electronics), GC University, Lahore, Pakistan. We thank all personnel for their cooperation and participation in facilitating our experiments, especially Dr. Ali Asif and Mr. Muhammad Yasir Noor.

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Authors and Affiliations

  1. Department of Automation Science and Technology (System Engineering Institute), School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China

    Salah-ud-din Khokhar & QinKe Peng

  2. Department of Computer Science, G.C University Lahore, Lahore, 54000, Punjab, Pakistan

    Salah-ud-din Khokhar

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  1. Salah-ud-din Khokhar
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  2. QinKe Peng
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Correspondence to Salah-ud-din Khokhar.

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QinKe Peng contributed equally to this work.

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Khokhar, Sud., Peng, Q. Utilizing enhanced membership functions to improve the accuracy of a multi-inputs and single-output fuzzy system. Appl Intell 53, 7818–7832 (2023). https://doi.org/10.1007/s10489-022-03799-4

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  • DOI: https://doi.org/10.1007/s10489-022-03799-4

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