Research And Design Of Physical Training And Management DSS Based On Agent

Nowadays,Decision Support System has developed rapidly.It is applied in various areas of society and athletic sports,training,management are a important applied area.A lot of research fruits are existed on the area at home and overseas.But they are mainly focused on the idiographic sport items or the physical training and management of athletes.But prefessional DSS are lacked in scientifically supervising the physical training and management for common people,especially for student.The paper introduces the development and research actuality of DSS,expounds the related theories and technologies of Agent and MAS(Multi-Agent System) in detail,and weightily narrates the realization of Agent,the communication of different Agents and the systematic structure of Multi-Agent.In addition,the theories,methods and technologies of data mining,especially related rule data mining are investigated. Apriori algorithm is mended to M-Apriori algorithm.The latter has better execution efficency,and then is morely fit for mining student body diathesis information.DSS are more intelligent,universal and exoteric after applying Multi-Agent technology and data mining technology into it.Based on it,the paper thoroughly investigates and realizes the systematic structure of physical training and management based on Multi-Agent according to the characteristic of the physical training and management area.The physical training and management DSS based on Multi-Agent is accompolished after every component inside it being concretely actualized.The system could institute plans for the individuals or a group,could provide decision support of body diathesis evaluation and physical training methods,and could offer scientific theory evidence for the plans.