APPLICATION OF LOGICAL DECISION TREES AND MULTIPLICATIVE MULTIPLE REGRESSION IN SIMULATION OF IMPORTANCE RANK OF DESIGN AND SERVICE PARAMETERS

摘要

The paper presents a detailed analysis of the importance rank of design and service parameters of machine systems. Exemplary nominal measuring data for an impeller-propeller pump were used for the presentation of the algorithm which integrates logical decision trees and the method of multiple regression analysis. Adequacy of the product value of the correlation coefficient R_I of the multiplicative equation of multiple regression and the optimum decision logical tree for the given system of parameters are considered.