Research Of Decision Resource Sharing & DSS Rapid Development Environment In Network Environment

Aimed at decision resources sharing & integration in network's environment,the thesis focuses on the decision support technologies based on data mining,the DSS architecture and running protocol,generalized model server system,DSS integration language. DSS rapid development environment and so on. The main achievements are as fellow:For effective sharing and rapid integration of decision support resources in network environment,DSS Layer Model (DSSLM,including representation,plan,instance and server). decision resources interface specification,the integration & running protocol of decision resources and the architecture of integration DSS have been achieved. The architecture composites many decision support technologies,which defines the relation among the integration protocol,the interface specification and decision resources servers. It has positive values to the development and application of network-DSS.Data mining is arising as a new decision support technology. Here the author emphasizes non-linear neural networks used to data mining. The neural networks currently studied are almost linear based on super-flat. Usually they need long training time,and are hardly understood. In this case,the author puts forward to new aon-linear neural networks for classing-CC model and its network architecture. CC model utilizes super-circle to divide the example's space. Thanks to the good geometry characteristic of super-circle,the weights and architecture of networks are easily obtained by math solution. Therefore,the networks can provide satisfying efficiency in training and satisfying generalization after training,and the trained networks are easily understood. They are a new type of neural networks.Generalized Model Server provides the sharing and access abilities to decision resources in network environment. The server unifies organization,management and running of generalized models (model,algorithm,plan,knowledge,instance and so on),which provides intercommunion between different resources,supports the running of data mining algorithms,support synchronous access of clients system,and provides remote accessing mechanism by management language (RML). The system owes open multi client server architecture. The remote client utilizes RML to request model services through network,acquiring decision information. By now,the conception and software of model server has not been represented and reported. This is the first time that the author puts forward to and develops the Generalized Model Server. It's a new management mode of DSS resources,and the true sharing of DSS resources comes true.DSSE Rapid Development Environment,developed by the author,can quickly generate,modify,run and evaluate the solution plan of real-world problem,by editing decision frame. linking DSS resources on the different servers. DSSE can support model-driven decision,data-driven decision and the combination of both,providing better and richer decision-aided information. At the same time,the author designs and implements DSS Integration Language innet environment,which reinforce the aid-decision functions of Rapid Integration Environment. In the thesis,the DSS application developed in DSSE:Spatial Decision support System for Agricultural Investment in China (SDSS AIC) is presented. The successful implementation and application of DSSE reward a high score of Information Center of State Development Planning Commission and Remote Sensing Application of Chinese Academy of Sciences (RSA CAS).The achievements of the thesis have great theoretic and realistic significance in promoting the sharing of decision resources,implementing network decision support system,advancing the decision support technologies,achieving the networking,scientific and standardization of management and decision.