Index weight distribution method based on AHP and expert sorting empowerment

The invention discloses an index weight distribution method based on an AHP and expert sorting empowerment. The method comprises the following implementation steps that 1, an individual judgment matrix Ae of experts is built on the basis of individual judgments of the experts, and the individual judgment matrix needs to be processed through consistency verification; 2, the same weight is given to each expert to build a primary group judgment matrix Aa, and a primary group decision index weight vector Ua is calculated; 3, different weights we are given to the experts according to expert sorting; 4, a secondary group decision index weight vector Ub is calculated; 5, index weights are output according to the Ub. According to the method, the positive effect of group decision and brainstorming of the experts is effectively achieved, and meanwhile the negative influence of individual extreme preferences in the group decision on the decision is effectively corrected; compared with an index weight distribution method based on the AHP and expert clustering, the method has the advantages that expert clustering iteration computation does not need to be performed, expert clustering convergence conditions do not need to be determined, the calculating steps are clear, and the calculating amount is less.