A Study on Multi-Agent Decision Algorithm Based on Granular Computing
Liao Rui-hu · Science & Technology and Economy · 2013
In order to improve the reliability of the decision-making and overcome the knowledge limitation of a single agent,this paper introduced an information fusion model based on evidence reasoning and granular computing,and defined the cooperative deci- sion-making of Multi-Agent. The decision making fusion has been divided into two stages of observing and decision-making. The obser- vation Agent takes feature vectors as inputs from environment information,and the result is that the information granulation method in- troduced in this paper can reduce the complexity of synthetic computation effectively.