基于数据挖掘的生态公益林效益评价决策支持系统研究

Research on Decision Support System of Benefit Evaluation of Non-Commercial Forest Based On Data Mining

生态公益林效益评价是生态公益林系统管理与可持续发展的重要内容。在生态公益林效益评价的主要内容与价值量评估公式、参数设置及方法的基础上,给出了基于数据挖掘的生态公益林效益评价决策支持系统的功能结构与体系结构;设计了以模型库与知识库为中心,辅以数据库、方法库和计算机网络技术的生态公益林效益评价决策支持系统;利用软件工程方法、J2EE框架技术、MVC设计模式和数据库访问技术实现系统开发。系统利用数据挖掘中聚类分析技术,能进行生态公益林资源分类和关联规则技术挖掘出公益林不同效益指标之间的内在联系。系统具有较强的分析、预测与决策、可视化输出功能,辅助生态公益林管理与决策者提高决策水平和质量。

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.