Grey-relation based Approach to Uncertain Multiple Attribute Decision Making
【摘要】：This paper proposes a new approach to the uncertain multiple attribute decision making problems based on the grey-relation theory,where the attribute values in decision matrix is expressed in the form of intervals and definite values. In the approach,the attributes are classified into two categories: the definite and the interval. Based on the grey relation theory,the attribute values are normalized firstly; Then,with respect to the interval attributes,by calculating the grey relation coefficients between the interval attribute values and the positive ideal one,the normalized interval attribute values are further transformed into single-point ones; In addition,the attribute weights are determined based on the definite decision matrix obtained; By calculating the overall values of the alternatives,they can be ranked descendingly. An example is used to illustrate the proposed approach in the end.