Method of the multiple attributive group decision making under incomplete information
Han Min · Systems engineering and electronics · 2007
For the multiple attributive group decision making problems,a new method for group multi-criteria decision making with incomplete information is proposed.The alternative's evaluation values under subject attribute are interval numbers which are to express the incompleteness and vagueness of the decision maker.For each subjective attribute,a weight value vector is set to express the opinion's important degree of each expert in different area while the similarity of the expert's opinion is also taken into account.The alternatives are ranked by the similarity degrees of each alternative to ideal solution.At last,a numerical example is put forward to illustrate the method.