A long time, scientific instrument equipment sharing always is the question that unceasingly appealed but actually has not been able to solve. This not only causes a great waste of state funds, but also blocks and astricts the development of our country scientific research in a certain extent. To tackle this chronic question, construction equipment share collaboration platform is a positive way.Equipment booking system is an important subsystem for equipment share management system. Through the system, users can find the equipment that they book. In order to play the role of equipment share collaboration platform, equipment booking is the key and the base of realizing equipments share.In the traditional equipment booking system, the user filter and book equipment provided by platformby the way of conventional inquirytechnology. But this method generally has some problems such as the slow speed, many errors, and is very difficult to be suitable for the demand of fast and accurate equipment booking. So the use of intelligent equipment recommended booking system is the goodway. Intelligent equipment booking system can use the rule-based and case-based reasoning (CBR) methond. Comparing with traditional rule-based system, CBR has many advantages, which can predigest knowledge gathering and accumulate knowledge easily. Sothe way that case-based reasoning is introduced into the equipment booking system problems has important theoretical and practical value. Meanwhile, the research work extend the application field of CBR.Through the research of CBR, this paper has combined equipment booking problems with Case-based reasoning. Taking CBR as the key, the method used in CBR is researched according to need of user. For equipment bookingproblem, the object-oriented method is used as the knowledge representation method. According to the case representation and organization's form, the improving-nearest neighbor approach is took for a case retrieval strategy in discussing case retrieval strategies. The improving-nearest neighbor approach is the nearest neighbor approach with index, including the primary retrieval and the advanced retrieval, improving the efficiency of case retrieval. |