Mechanical development of the use of accounting information in the investment decision making

Abstract

Abstract Regression analysis is one of statistical methods which is used in many of sciences. probability theory is used to deal with uncertainty in models which are attributed for random but in modeling some systems where human estimation is influential, we must deal with a fuzzy theory to deal with uncertainty which is attributed for fuzziness .to estimate the fuzzy parameters of fuzzy regression model we used the method of (tanaka).in method of (tanaka) we used several methods to fuzzify the dependent variable, by using the proposed method and anther methods are used previously. The mean square errors for the center of parameters and the sum of spread are used to compare between the methods.When applying the method of (tanaka) we found that the mean square errors and the sum of spread Camper with another methods ,When we use the proposed method for fuzziness are the minimum . the previous methods are applied by using oil prices and oil production and oil demand data as a time series with (30) years.