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, Issue 1,Pages <nobr>180

This article is cited in 16 papers

Reliability

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

A. P. Rotshtein^a, S. D. Shtovba^b

^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.

PACS: 07.05.Kf, 07.05.Mh

Presented by the member of Editorial Board: B. G. Volik

Received: 04.04.2007