Fuzzy Regression Analysis with a proposed model

Regression analysis refers to methods by which estimates are made for the model parameters from knowledge of values a given input-output data set. The aim this research is find suitable and determine ‘best’ data. In statistical regression analysis, deviations between observed output corresponding predicted attributed random errors. It often assumed that distribution these errors Gaussian. On other hand, in fuzzy (errors) imprecision or vagueness system structure proposed new linear programming model. compared with models used literature Tanaka, Hojati Tansu models. results presented comparison has been done each Eleven different applications have mentioned. Then all application regarding similarity measure goodness fit stated paper.