Development of methods and algorithms of the decision-making intellectual support in personnel control systems

Аuthors

Danilenko A. N.

Abstract

In this paper we propose the methods and algorithms of the decision-making intellectual support in personnel control systems on the base of fuzzy neural networks. The automatic generation algorithm of knowledge base is developed according to the established criteria of fullness and minimality. The reduction of feature space on the base of the specialists’ expert judgment is produced.

Keywords:

control system; decision-making; intellectual support; fuzzy logic; neural networks.

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