Selection of Human Working Conditions Based on Fuzzy Perfection
- Authors: Rotshtein A.P.1
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Affiliations:
- Lev Jerusalem College of Technology
- Issue: Vol 57, No 6 (2018)
- Pages: 927-937
- Section: Systems Analysis and Operations Research
- URL: https://journals.rcsi.science/1064-2307/article/view/220252
- DOI: https://doi.org/10.1134/S1064230718060096
- ID: 220252
Cite item
Abstract
A method for selecting the working conditions affecting the probability of human errors is proposed. The problem is reduced to comparing alternative scenarios each of which determines a set of concrete working conditions. The method is based on the idea of evaluating each working condition by the criterion of fuzzy perfection, i.e., the degree of proximity to a certain perfect condition, and on an integral evaluation of the scenario as a whole by intersecting fuzzy perfection sets of individual conditions. Fuzzy perfection membership functions, an algorithm for comparing alternative scenarios, and an example illustrating a comparison of the different working conditions of the crew of a vehicle are considered.
About the authors
A. P. Rotshtein
Lev Jerusalem College of Technology
Author for correspondence.
Email: rothstei@g.jct.ac.il
Israel, Jerusalem