摘要
自从 1965年Zadeh发表关于模糊集理论的文章以来 ,模糊集理论已在工业控制、医疗诊断、经济决策、模式识别等领域得到广泛应用 ,随着模糊逻辑和可能性理论的提出和深入研究 ,它们在不确定推理模型的设计和多传感器信息融合中显示出越来越强大的优势 ,文中探讨它们在多传感器数据融合中的应用。
Since Zadeh set up the fuzzy set theory in 1965, it has been wide used in industry control, medical diagnostic, economic decision and pattern recognition and so on. With more research of the fuzzy logic and possibility theory, now it is being applied in design of uncertain reasoning model and multi-sensor information fusion. In the article, it is discussed how to use decision tree to extract the fuzzy rules lies in the training data and the application of fuzzy logic and possibility theory in multi-sensor data fusion.
出处
《红外与激光工程》
EI
CSCD
2000年第5期56-59,共4页
Infrared and Laser Engineering
关键词
决策树
数据融合
模糊逻辑
人工智能
Decision tree
\ Data fusion
\ Fuzzy logic
\ Possibility theory
