An application of fuzzy risk analysis based on Max and Min sets

The set method of maximizing and minimizing is one of the favorite ranking methods for fuzzy numbers which ranks them on the basis of left and right regions or parts and general applications. This article shows an ordered method of ranking for fuzzy numbers which define the new ordered region for the purpose of ranking and left and right regions within fuzzy numbers and improves two ideal points defined by means of an index with respect to the tendency of decision maker «DM» considering the risk-taking by an optimal weight and shows that the ranking method of combination by this weight has more differential and can improve the points method of ideal positive and negative which has used different values for (Alfa) by other methods and with the help of an appropriate weight can improve that quality.