Creating of decision making Fuzzy-systems

Abstract

Purpose: to investigate the problem of building decision-making systems whith basis of the large amount of data distributed across nodes of the computing cluster and characterizing the subject area. Discussion: building decision-making systems that are implemented as expert systems is a laborious task for two reasons. Its solution requires the involvement of highly qualified experts in this subject area to provide the system with expert knowledge. Effective implementation of the logical inference system ensures that the expert system makes the right decision. Therefore, the task of automating the process of generating expert knowledge, constructing and implementing flexible and intelligent decision-making systems is topical. Results: authors proposed an approach to generating expert knowledge based on one of the methods of data mining (Data Mining). This approach is universal relative to the subject area. The generated Fuzzy system can predict the values of the required indicators or help to make a decision in the relevant subject area on the basis of available current data.