Cluster Wise Fuzzy Regression Approach for Fail Quality of Industrial Machines

Abstract

The operational efficiency of construction engineering machinery is usually estimated either by the manufacturers through catalogues and curves or by the project mangers. One of the major problems for the soil project contractors is proper forecasting the fail quality of industrial machines. Experiences of the last few years in Iran have deemed these methods inappropriate to make accurate estimation of the efficiency.

The present paper used method with fuzzy regressions having independent variables or fuzzy dependent and independent variables to forecast fail quality of industrial machines in Iran. The study uses the Least-Squares Linear as an operational criterion. The data required to build the model were collected from observations and the performance efficiency of 20 operating machines in various projects in Iran. The Mathematica 7 and Lindo 8 soft wares were used to make and implement the model. Comparisons of the model's data with those provide by the manufacturers indicates a significant reduction of error on one hand and the ability of the model in accurately estimating the performance efficiency of the machineries on the other.