Multi-objective Shop Scheduling Scheme Well-Chosen Decision Making Based on A-E Method

摘要

Multi-objective shop scheduling optimization approach often presents the scheduling decision makers a set of Pareto solutions,which is hard to select the most satisfactory one from them. Therefore,a new method was put forward to select the best solution from the Pareto solutions. Firstly,a new weight-confirming method which contained subjective factors and objective factors was obtained by combining analytic hierarchy process and entropy theory (A-E). Then,the distance between ideal scheme and spare schemes was illuminated by Euclid norm as a standard to select the best scheme. Finally,the result testifies that using A-E method can make a right decision quickly which can help the decision-maker get the most satisfied solution from the set of Pareto solutions.