Artificial intelligence techniques for optimizing the efficiency in public works contracting selection processes

Artificial intelligence techniques for optimizing the efficiency in public works contracting selection processes

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The present article proposes to design a model that provides a generic architecture which 2014 dodge ram 1500 fender flares acts autonomously in public works contracting selection processes, in order to generate an automated decision criterion in the event of a tie.For the Simplified Tender selection process, in case of a tie, it is proposed to choose the bidder by means of an electronic lottery based on a controlled randomization system of encryption and transformation.For the Public Bidding selection process, in the event of a tie, the bidder is chosen by means of a predicted compliance index according to the behavior of the companies when executing similar infrastructure projects.To this end, a model that predicts the probability of success or failure of the bidder to execute a project before initiating it is generated, using artificial neural networks as an analysis tool.This paper sequal eclipse 5 battery reviews the common characteristics of artificial neural networks.