The Algorithm of Multi-Agent Cooperative Decision-Making under Multiple Hypotheses Correct Synchronously
Tingjian Fang · Journal of Biomathematics · 2002
While Multiple agents cooperative decision-making for complex environment object, each agent's priori-knowledge is combined, so that the reliability of results is enhanced. This paper presented a multi-agent cooperative decision-making algorithm based on Dempster-Shafer theory for the objects whose frames of discernment exist multiple correct hypotheses synchronously. The theory of multi-agent cooperative decision-making is analyzed and described in detail. In order to enhance the decision-making reliability and decrease combinative computing complexity, the correct training patterns are introduced for the multi-agent system. This algorithm is applied to vegetable diseases recognition. The results demonstrate the multi-agent cooperative decision-making algorithm effective.