Evaluation and Forecasting of Quality of Products on the Basis of Information Mining Techniques

Structural formalization of the process of evaluation and forecasting of quality in terms of the basic methods of quality control, prediction and quality control theory is done. The advantages of Data Mining methods for decision making in the management of product quality are proved. The requirements for mining techniques to improve the efficiency of data processing for solving hard-formalized problems of quality control in modern production are formulated. Intellectualization of modern methods of assessment and forecasting of quality will allow resolving the contradiction between the uncertainty of a priori information about the multi-dimensional properties of industrial production and the increasing demands on the reliability and efficiency of multi-criteria assessment of its quality in decision-making at various control levels