Multi task Oriented Non linear GDSS Multi models Matching Algorithm
面向多任务的非线性群决策系统多模型匹配算法*

Aiming at multi-tasks non-linear GDSS, a multi-models matching algorithm was provided. In order to rationally make decisions to tasks with all kinds of character, the paper selects a satisfactory decision-making group fitting different tasks based on the character of different tasks. Then, build a multi-schemes model set for each decision-making task, and control the change of decision-making process based on the matching degree of scheme model and decision-making weight of decisionmaker. So, an optimized decision-making model was obtained. At last, an application instance was given about the algorithm. The results indicate the algorithm is effectually, it can choose flexible different models from model database and can improve the speed and precision of decision-making.