Application of Genetic Algorithms in Ranking Method of Judgment Matrix

Autor: Chi Jing, Ning Zhengang, Gao Yanfen
Rok vydání: 2009
Předmět:
Zdroj: 2009 International Conference on Computational Intelligence and Natural Computing.
DOI: 10.1109/cinc.2009.200
Popis: According to the property that the ratio of corresponding elements is a constant in any two rows of consistency matrix, the indirect judgment information of the judgment matrix is comprehensively used to construct a constrained programming model in order to determine the ranking weight of judgment matrix. And the Genetic Algorithms is used to solve the model. Finally, an example is given to demonstrate this method. The results showed that weight dispersion got by this method is higher, and it is also much easier to identify the optimal plan.
Databáze: OpenAIRE