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A study of fuzzy membership functions for dependence decision-making in security robot system

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Abstract

This paper proposes comparison of fuzzy membership functions for decision-making in security robot system. Robot’s decision-making speed depends on fuzzy membership functions. The results of the study indicate that sigmoidal membership function coincide the best, two-sided Gaussian, Gaussian, generalized bell, and zero on both extremes with a rise in the middle member ship function coincide well. However, sigmoidal, with a mirror image membership function that opens to the right, and asymmetrical polynomial membership functions do not coincide well with the trapezoidal membership function. The result of the study indicates that trapezoidal MF gives the best performance, and triangular MF response is very close to that of trapezoidal MF.

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Acknowledgments

This paper was supported by research funds of Wonkwang University in 2015.

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Authors and Affiliations

  1. Department of Software Engineering, Chonbuk National University, Jeonju, South Korea

    Suntae Kim

  2. Center for Advanced Image and Information Technology School of Electronics and Information Engineering, ChonBuk National University, 664-14, 1Ga, DeokJin-Dong, Jeonju, Chon buk, 561-756, South Korea

    Malrey Lee

  3. Department of Fire Service Administration, WonKwang University, Iksan, Republic of Korea

    Jongho Lee

Authors
  1. Suntae Kim
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  2. Malrey Lee
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  3. Jongho Lee
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Correspondence to Malrey Lee or Jongho Lee.

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Kim, S., Lee, M. & Lee, J. A study of fuzzy membership functions for dependence decision-making in security robot system. Neural Comput & Applic 28, 155–164 (2017). https://doi.org/10.1007/s00521-015-2044-3

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  • DOI: https://doi.org/10.1007/s00521-015-2044-3

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