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Avtomatika i Telemekhanika, 2009, Issue 1, Pages 180–187
(Mi at16)
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This article is cited in 15 scientific papers (total in 15 papers)
Reliability
Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base
A. P. Rotshteina, S. D. Shtovbab a Jerusalem Polytechnical Institute – Machon Lev, Jerusalem, Israel
b Vinnitsa State Technical University, Vinnitsa, Ukraine
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.
Citation:
A. P. Rotshtein, S. D. Shtovba, “Modeling of the human operator reliability with the aid of the Sugeno fuzzy knowledge base”, Avtomat. i Telemekh., 2009, no. 1, 180–187; Autom. Remote Control, 70:1 (2009), 163–169
Linking options:
https://www.mathnet.ru/eng/at16 https://www.mathnet.ru/eng/at/y2009/i1/p180
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Statistics & downloads: |
Abstract page: | 566 | Full-text PDF : | 205 | References: | 40 | First page: | 9 |
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