This paper presents the results of a questionnaire survey conducted by the authors to identify the risk factors affecting construction projects in Poland. The elements of the fuzzy sets theory are applied to rank the risk factors due to their degree of significance and to evaluate the threat to the construction project caused by a given risk.
There are two types of collusion which can harm Clients. This paper proposes two methods of detecting collusion’s and estimation a clients’ potential losses. The first is based on officially recommended factors for collusion detecting. The second one utilizes MLP artificial neural networks. Results are compared and discussed.
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