الفهرس 
1 chapter introductionOnly 14 pages are availabe for public view
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Abstract
A myriad of construction companies operating in the global construction industry aim at maximizing their profitability by shouldering international projects making use of such new attractive markets, and thus they reduce the dependency upon local markets. Due to the risky and uncertain nature of construction works, the company and project’s conditions should be accurately monitored; thus, the need to assess risk sensitivity of projects costs in a realistic manner arises. The comprehensive risk assessment is a method introduced as a decision making supporting tool through outlining a risk model that is, if applied, will aid the procedures of risk evaluation and prioritization of such projects, and assessment of risk contingency value. There are two approaches used for developing the risk model: first, the Analytic Hierarchy Process (AHP) which is applied for evaluating risk factors weight (likelihood); second Fuzzy Logic approach which is applied for evaluating risk factors influence (Risk consequences). Software aids were also employed to develop such model. The developed software has been proved reliable after having been applied on real construction projects. The outcome of using the proposed methodology and the tool of decision support for estimation of cost overrun resulting from risk has been proved reliable too, as it has been based on actual final reports on realistic projects. For the aim of the study, eight case studies from varying countries were selected on the common basis of being actual projects. In these eight cases the highest risk factors are determined, through applying the designed models, testing their results and evaluating risk cost impact. The proposed models in application showed that: the highest and lowest risk contingency of 49 % and 16 % were in Project no (6), (8), where the projects no (1, 2, 4,7) had risk contingency of 29%, 39%, 20 %, 28% respectively. The actual results are adjacent to those proposed in the program. Finally, the results reveal that the risk value according to the FUZZY program are close to the results of the actual risk value with a correlation coefficient (Pearson Product Moment Correlation) is equal to 0.927 and the coefficient of determination is equal to 0.86 These results support and prove that the developed model can be employed to evaluate the risk contingency percentage.