RESEARCH ARTICLE


Handling Human-Centered Systems Uncertainty Using Fuzzy Logics - A Review



Isabel L. Nunes*
Universidade Nova de Lisboa/ Faculdade de Ciencias e Tecnologia, Departamento de Eng. Mecanica e Industrial, Campus de Caparica, 2829-516 Caparica, Portugal.


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Nunes et al.; Licensee Bentham Open

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Universidade Nova de Lisboa/ Faculdade de Ciencias e Tecnologia, Departamento de Eng. Mecanica e Industrial, Campus de Caparica, 2829-516 Caparica, Portugal; Tel: +351 21 294 85 42; Fax: +351 21 294 85 46; E-mail: imn@fct.unl.pt


Abstract

The analysis of human-centered systems (HCS) is complex, involving vagueness, uncertainty and ill-defined data. The subjective nature of human classifications renders classical logics approaches almost useless to deal with HCS. Fuzzy Logics (FL) provides a mathematical framework for the systematic treatment of vagueness and imprecision; facilitates the elicitation and encoding of uncertainty-related knowledge; and a flexible representation mechanism for dealing with vague data. The broad variety of fuzzy operators covers the continuum from union operators to intersection operators, including average operators. This paper presents several application examples of FL in HCS analysis, namely related with Ergonomics and Safety Analysis.

Keywords: Human-centered Systems, fuzzy logics, ergonomics, safety.