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

Isabel L. Nunes; Maria Rita Sarmento de Almeida Ribeiro

doi:10.1007/978-3-642-11628-5_11

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

Isabel L. Nunes, Maria Rita Sarmento de Almeida Ribeiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

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.

Original language	English
Title of host publication	IFIP Advances in Information and Communication Technology
Pages	105-111
Volume	314
DOIs	https://doi.org/10.1007/978-3-642-11628-5_11
Publication status	Published - 1 Jan 2010
Event	1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems - Duration: 1 Jan 2010 → …

Conference

Conference	1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems
Period	1/01/10 → …

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Nunes, I. L., & Ribeiro, M. R. S. D. A. (2010). Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach. In IFIP Advances in Information and Communication Technology (Vol. 314, pp. 105-111) https://doi.org/10.1007/978-3-642-11628-5_11

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Access to Document

10.1007/978-3-642-11628-5_11

http://oa.uninova.pt/4771/