Application of improved TOPSIS method based on ACO and BP algorithm
Dongxiao Niu, Jialiang Lv · 2008
TOPSIS method is applied abroad in the decision and evaluate field, this article introduce the ACO algorithm which is based on continuous space optimization object to improve traditional TOPSIS method, so as to increase the order precision by search the optimization index weights. Then the BP algorithm is used in establishing the relationship between sample data and the result of evaluation, consequently the evaluate efficiency is increased by the emulator model which can evaluate more new sample directly. The demonstration shows that the two methods above can take great effect in TOPSIS evaluation.