Estimating potential losses of the client in public procurement in case of collusion utilizing a MLP neural networks
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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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