Today with the fast development of high technology, the scale and level of high-tech industries decides the level of economic development and international competitiveness, even the future of the nation. In order to accelerate the development of high technology and its industries of our nation, Chinese government has implemented "863 Project" and "Torch Plan". It brings forward higher requirements to the evaluation, planning and polices making of the high-tech industries.Identification and evaluation of high-tech products is the important foundation of the evaluation, planning, police making and supervising of high-tech enterprises and high-tech industries. Currently there are no specific standards and methods of high-tech products classification and identification. In "torch plan" projects the method of expert conference is used for the identification of high-tech products, which has some disadvantages, such as it is random because of subjective attitudes of experts, the indexes of which are too simple, its evaluation result is only valid once and less flexible, it can not carry out real time and rolling identification, and follow-up evaluation. In time of international compare, the American method that prescribes 10 high-tech fields and 222 kinds of high-tech products is referred, based on which high-tech products are separated from commodities catalogue of Chinese customs. Since this method fails to indicate our scope of high-tech fields, it only acts as a reference in international compare.A series of scientific and practical methods have to be established to meet the requirements of the identification and evaluation of high-tech products in China. Due to the complexity of evaluation work, the method of expert appraisement not only means a high working load but also strongly affected by the subjective factors. Computerized automatic evaluation is hard to realize because there are many factors that are uncertain and difficult to measure. The identification and evaluation of high-tech products is a semi-structure problem, which is suitable for human-machine interactive Decision Support System (DSS) . So the research on the DSS of high-tech products evaluation is of theoretical value and practical significance in improving the managerial level of Chinese high-tech industries.After the analysis and summarization of theories and methods of high-tech products identification and evaluation, the theory of Group Decision Support System (GDSS) and the theory of Distributed Artificial Intelligence from both domestic and overseas research, this thesis gives out an idea to make theidentification and evaluation on high-tech products by a Distributed Intelligence Group Decision Support System (DIGDSS) , which is set up in the internet environment based on combination of multi-person, multi-hierarchy and multi-objective methods.Through the integrated appliance of Internet technology, group decision theory and decision support system theory, it designs a general framework of DIGDSS. The framework includes the managerial system of high-tech products identification and evaluation for managers, long-distance application system for enterprises and the distributed intelligence group decision identification and evaluation system for experts.In order to equip the module base system with the feature of repeated use, it applies the object-oriented method and data expression manner, thus designs a general module base structure of multi-person, multi-hierarchy and multi-objective system. This module base can realize the dynamic management of modules and manage module base with data base management system.In order to strengthen the intelligence of the system, it breaks the framework of problem process system (PPS) of traditional DSS, it applies the agent technique of Distributed Artificial Intelligence, designs the operational structure of problem generating and problem solving systems. This structure realizes dynamic the module control.It designs the machine learning in knowledge discovering system with the appl