Analysis and classification of companies on tehran stock exchange with incomplete information

Due to uncertainty and large number of companies in financial market, it has become difficult choose the right stock investments. Identifying classifying stocks using fundamental criteria help investors better understand risks involved selecting manage their own capital, thereby rapidly accurately preferred make more secure profit. The main concern that capital market are facing difficulty choosing despite uncertainties market. Uncertainties lead incomplete information presented this article complete reciprocal preference relation method. purpose paper is present a method for completing reduce finally classify each industry based on criteria. classification used acceptability/reject ability which distance fuzzy analysis yields accurate results. Finally, case study one most critical industries Tehran Stock Exchange show effectiveness proposed approach.