International Journal of Advanced Research in Engineering ISSN: 2394-2819 Technology & Sciences April-2016 Volume 3, Issue-4 Email: editor@ijarets.org www.ijarets.org copyright@ijarets.org Page 38 Risk Analysis Model for Construction Projects Using Fuzzy Logic ZID CHAHER, ALI RAZA SOOMRO Department of Architecture Kulliyyah of Architecture and Environmental design International Islamic University Malaysia ABSTRACT: The construction industry project is more subjective and risky compared with the others industries because of the unique characteristics of construction activities such as poor working condition, the significant frequency of accidents and the occupational risky situation. Risk analysis and management on the project sites is the first key to achieve adequate level of security. However, the modern construction and the new sophisticated design have shown a significant obstacles and uncertainties to complete the project safely; thereby it is inevitable to search a new approach to deal with uncertainties. The ability of a fuzzy system to deliver its reasoning process is presented to have absolute result within the field of risk analysis. As well as, fuzzy set theory is mainly subjective and associated to deal with inexact and vague information in construction projects. This paper describes the stages of the fuzzy risk analysis model which is developed to assess the risks related with construction projects and their uncertainties based on evaluations of cost, time and quality. Ultimately, using this model we can prioritize and rank all risk factors cited in the construction project; besides that we can easily manage them in the best appropriate way. KEYWORDS: Construction projects; Fuzzy logic, Risk analysis 1- INTRODUCTION: The importance of construction industry to nation building necessitates that project implemented achieves project success. Nevertheless, for more than a century, researchers have been grappling with applying innovative computer modeling techniques to assist decision makers in finding better solutions regarding these criteria of cost, time, performance, quality and safety .Thus, fuzzy set theory and fuzzy logic are applied in this area while the data represented are in subjective verbal forms or the scarcity of the information. The ability of a fuzzy system to illustrate its reasoning process is presented to have definite result within the field of risk analysis. Also fuzzy set theory is highly subjective and related to uncertainty and vague information human perception or subjective likelihood judgments .Whilst, this uncertainty and vague information might be due to a lack of knowledge or experience, wrong historical analysis. Thus, in construction research area one of the applications of fuzzy risk analysis is to outline an approach to the assessment of the construction project risk by linguistic analysis. 2- LITERATURE: The nature of construction project has imposed, on the risk analysis process, high uncertainties and subjectivities, which have obstructed the applicability of many risk assessment methods that are used in large- scale in construction. Projects that require high quality information, such as: Event Tree Analysis (ETA), Failure Mode and Effect Analysis, Fault Tree Analysis (FTA), Probability and impact matrix, Sensitivity Analysis, Evaluation of System Reliability, (Ahmed et al., 2007). In many circumstances, the application of old risk assessment methodologies might not give satisfactory responses because of incomplete risk information or