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

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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Communication dans un congrès
Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.103-110, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_11〉
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Abel Pinto, Isabel L. Nunes, Rita A. Ribeiro. Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach. Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.103-110, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_11〉. 〈hal-01060793〉

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