Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50594

TitleThe application of a fuzzy approach to the analysis of OSH practitioners level of risk acceptance
Author(s)Rodrigues, Matilde A.
Leão, Celina Pinto
Nunes, Eusébio P.
Sousa, Sérgio
Arezes, P.
KeywordsDecision-making
Fuzzy Approach
Risk Acceptance
Occupational accidents
Issue date2015
PublisherAmerican Society of Mechanical Engineers (ASME)
CitationRodrigues, M. A., Leão, C. P., Nunes, E., Sousa, S., & Arezes, P. (2014, November). The Application of a Fuzzy Approach to the Analysis of OSH Practitioners Level of Risk Acceptance. In ASME 2014 International Mechanical Engineering Congress and Exposition (pp. V014T08A028-V014T08A028). American Society of Mechanical Engineers.
Abstract(s)Organizations need constantly to take decisions about risk. In this process, Occupational Safety & Health (OSH) practitioners' judgments have a great importance. If on one hand they have the technical knowledge about risk, on the other hand the decisions can be dependent on their level of risk acceptance. In view of this, this paper analyzes the views of the OSH practitioners about the level of risk acceptance, using the Fuzzy logic approach. A questionnaire to the analysis of the reported level of risk acceptance was developed and applied. The questionnaire included 79 risk scenarios, each accounted for the frequency of an accident with more lost workdays than a given magnitude. Through the two-step cluster analysis three groups of OSH practitioners were identified: Unacceptable, Tolerable and Realistic groups. A further analysis of the realistic group judgments about risk was performed, using the Fuzzy logic approach. The fuzzy sets of inputs and output variables were determined and the relationship between the variables was mapped through fuzzy rules. After that, the Min-Max fuzzy inference method was used. The obtained results show that the risk level is acceptable when input variables are at the lowest value and unacceptable when the risk level is high. Furthermore, the results obtained allow to better understand the uncertainty related with the OSH practitioners judgments being an important step to better understand the modeling of judgments about risk acceptance level allowing to know the different risk acceptance levels for the different accident scenarios.
TypeConference paper
URIhttp://hdl.handle.net/1822/50594
ISBN978-0-7918-4963-7
DOI10.1115/IMECE2014-40069
Publisher versionhttp://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2205794
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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