Multiple Criteria Decision Making Based on Discrete Linguistic Stochastic Variables

Abstract EN

For solving the discrete linguistic stochastic multiple criteria decision making problems with incomplete information, a new decision making method based on the differences between the superiorities and the inferiorities is proposed.

According to the two basic parameters which are the possible outcome and the state probability, the superior decision matrix and the inferior decision matrix of the alternative set under each criterion are first worked out.

Then, by the differences between the elements on the appropriate locations of these matrices, the corresponding dominant decision matrices are formed.

Subsequently, with the help of the weight vector of the criterion set, the weighted integrated dominant decision matrix of the alternative set is built.

Consequently, the weighted integrated dominant indices' sum of each alternative is calculated.

Thus, the rank of the alternatives comes out.

Finally, a numerical example is given.

The result shows the superiority of the method.