Abstract:

The benefit evaluation of non-commercial forest is the main part of non-commercial forest system management and sustainable development. On the basis of the main part of benefit evaluation of non-commercial forest, value magnitude formula, preferences and method, it showed the functional structure and architecture of decision support system of benefit evaluation of non-commercial forest based on data mining, and designed a decision support system of benefit evaluation of non-commercial forest centered on model base and knowledge base, assisting with data base, method base and computer network technology, using methodology of software engineering, J2EE framework, MVC design pattern and database access technique to realize system development. The system can classify non-commercial forest sources by using cluster analysis and find out the internal relation among the performance indicators of non-commercial forest with association rules. This system has comparatively strong functions of analyzing, predicting, decision-making and visual output to assist non-commercial forest management and decision makers to enhance the level and quality of decision making.