Research on multi-objective fuzzy decision-making method based on GA

To decrease the influence degree of objective's non-standardization in multi-objectives decision- making, an improved algorithm based on GA was proposed. During seeking the answer to multi-objectives decision- making, the objective eigenvalue of each chromosome was computed. Then, the influence degree and the influence degree coefficient caused by the objective's non-standardization were obtained in each generation. The relative membership degree of each chromosome to the optimized value was calculated based on the influence degree coefficient, and it included the influence caused by the objective's non-standardization. By changing the objective eigenvalue matrix into the relative membership degree matrix in each generation, the relative fitness function was set up and its value was calculated based on the relative membership degree to reduce the influence degree of objective's non-standardization to decision-making. At last, an example about resources optimizing deployment was given to prove the algorithm's feasibility and validity.