Yang X.,Academy of Equipment Command and Technology |
Yang X.,The Unit 63892 of PLA |
Zeng L.,Academy of Equipment Command and Technology |
Luo F.,Huazhong University of Science and Technology |
Wang S.,The Unit 63880 of PLA
Journal of Information and Computational Science | Year: 2010
The Analytic Hierarchy Process proposed by Thomas L. Saaty has been well developed and widely applied. There are also many doubts about AHP including the 9-scale ratio measurement in making the comparison. To deal with the vagueness of people's judgment, many researchers employ the fuzzy ratios in place of exact ratios. But except the fuzziness in people's subjective sense, there also exists uncertainty and randomness. The Cloud model, which can effectively integrate the fuzziness and randomness of linguistic judgment in a unified way, is used to express the ratios in the comparison matrix. Then the geometric mean method is employed to calculate the Cloud weights for each positive reciprocal Cloud matrix, and these weights are combined in the usual manner to determine the final Cloud scores for the alternatives. We rank the alternatives from highest to lowest by comparing the parameters of the Cloud scores. The examples prove the efficiency of the Cloud Hierarchical Analysis (CHA) proposed in this paper. CHA is the natural development of AHP and FHA. © 2010 Binary Information Press.