A Method for Determining Relative Importance in AHP Using Directly Fuzzy Numbers for Modifiers
Yoshimasa KAMEYAMA, Kenji KURASHIGE, Katuya OGAWA, Hayatoshi SAYAMA, Shigeji MIYAZAKI
We present the method for determining the relative importance in AHP (Analytic Hierarchy Process) by using fuzzy numbers fitted to the decision maker's feeling for every modifier. This method can use the fuzzy numbers having membership functions with arbitrary spread to represent the respective fuzzy feeling. We can expect that the results of this method fits the feeling of each decision maker better than the results of existing method.