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Conference Papers Year : 2010

Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach

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Abstract

Risk Assessment for Health and Safety (RAH&S) of workers is a complex task that entails the consideration of many parameters which are, more often than not, difficult to quantify. RAH&S in the construction industry is rampant with inadequate data and/or imprecise and incomplete information, particularly in the design stage, for which traditional quantitative approaches do not give adequate answers. In this work we outline the basic aspects for a Qualitative Risk Assessment Model (QRAM) based on elicited data and using a fuzzy logic approach.
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Dates and versions

hal-01060793 , version 1 (23-11-2017)

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Attribution - CC BY 4.0

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Abel Pinto, Isabel L. Nunes, Rita A. Ribeiro. Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.103-110, ⟨10.1007/978-3-642-11628-5_11⟩. ⟨hal-01060793⟩
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