This article describes the steps to clear data in the DSS. The ontology concepts of clear data were proposed and described. The analysis of methods and data cleansing technology were carried out at every stage of the process, taking into account its features. Built The ontology of data cleaning techniques for methodological systematization of functional elements in the implementation model of DSS was built.
The neuroagent model of decision-making in the conditions of uncertainty is investigated. Adaptive methods of an artificial neural network learning without the teacher are considered. The algorithm and program model of neuroagent decision-making are developed. Efficiency of neuroagent decision-making has been confirmed by results of computer experiment. Influences of parameters of model on the neuroagent learning rate are investigated.