Kozinets M. The system of intellectual support of dicision-making for automation of the distributed technological processes

Dissertational research is executed for the purpose of creation of new information-extreme method of analysis and synthesis of capable to study decision support system (DSS), in a mode of the facto-rial cluster analysis (FCA). It allows increasing the functioning effi-ciency of intelligence ACS by means of giving adaptability features. On basis of developed categorical models of DSS functioning, which studies in regime of factorial cluster analysis, algorithm of spatio-temporal learning parameters optimization was developed; influence of spatio-temporal learning parameters on efficiency and operability was investigated. As optimization criteria modified in-formation Kulback's measure was used, which is functional of pre-cision characteristics of intelligence DSS. Developed dataware and software of intelligence DSS was implement in process of manufac-ture of difficult mineral fertilizers under incoming control of feed-stock and material, which have natural extraction, lack conditions at Open Society "SumyKhimprom".