Risk assessment model for construction of buildings in Iraq using a fuzzy logic application: Al Rusafah, a case study

• Main Authors: Jalhoom, Rana Jabbar Kasid, Mahjoob, Ahmed Mohammed Raoof
• Format: Conference Proceeding
• Language: English
• Subjects: Construction industry; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Industrial development; Litigation; Project management; Risk assessment; Risk management; Task complexity
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0204929

Numerous unknowns in projects create challenges for businesses of all sizes seeking to accomplish their aims. "Risk" efers to the impact such unknowns have on an organisation's goals, and such risks are more likely to occur in the construction industry due to the uniqueness, complexity, and volume of tasks involved in construction projects. Risk management is thus essential in the construction sector, particularly in light of the constant struggles and lawsuits that arise from risk and the inherent high cost of completing projects in the construction industry. All available resources must thus be used effectively, yet in terms of making judgments, construction projects must often deal with inaccurate data. Fuzzy set theory can accommodate this, and its success in explaining non-logical thinking has led to its increasing use in the risk management industry. A questionnaire was developed and distributed to stakeholders working in construction sectors in Baghdad City (Al Rusafah sector) during the period 2017 to 2020 across ten projects as a way to analyse the likelihood and impact of 66 potential risks during such building projects. This study thus details a methodical procedure for assessing risk by using MATLAB's Fuzzy Logic Toolbox to assess the reported risk factors with the aim of detecting the numerous dangers that may affect building projects to determine the most significant dangers associated with upcoming construction projects and to assess the potential problems these may cause.