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Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base

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Abstract

Whenever a problem to predict and ensure reliability of human-machine systems is posed, regression models are usually applied to evaluate the influence of different factors on faultlessness, exactitude, operating speed, and other characteristics of the operator performance. The Sugeno fuzzy knowledge bases are proposed to model multi-factor relations of reliability. It is shown that this approach allows to combine expert knowledge and analytical relations of the parametric reliability theory in operator activity models. The expert component of a model provides with a comprehensive interpretation, while analytical input-output relations make a model compact. Appropriate examples are presented to demonstrate advantages of the Sugeno knowledge base application to describe multi-factor reliability relations of human operator.

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Authors and Affiliations

  1. Jerusalem Polytechnical Institute—Mahon Lev, Jerusalem, Israel

    A. P. Rotshtein

  2. Vinnitsa State Technical University, Vinnitsa, Ukraine

    S. D. Shtovba

Authors
  1. A. P. Rotshtein
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  2. S. D. Shtovba
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Original Russian Text © A.P. Rotshtein, S.D. Shtovba, 2009, published in Avtomatika i Telemekhanika, 2009, No. 1, pp. 180–187.

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Rotshtein, A.P., Shtovba, S.D. Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base. Autom Remote Control 70, 163–169 (2009). https://doi.org/10.1134/S0005117909010123

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  • DOI: https://doi.org/10.1134/S0005117909010123

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