This paper presents a fuzzy multiple attribute decision-making （FMADM） method in which the attribute weights and decision matrix elements （attribute values） are fuzzy variables. Fuzzy arithmetic and the expected v...This paper presents a fuzzy multiple attribute decision-making （FMADM） method in which the attribute weights and decision matrix elements （attribute values） are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.展开更多
基金Supported by the National Natural Science Foundation of China (N10501009)
文摘This paper presents a fuzzy multiple attribute decision-making （FMADM） method in which the attribute weights and decision matrix elements （attribute values） are fuzzy variables. Fuzzy arithmetic and the expected value operator of fuzzy variables are used to develop the expected value method to solve the FMADM problem. A numerical example is given to demonstrate the feasibility and effectiveness of the method.
