摘要
本文简介了智能信息处理中新出现的ＲｏｕｇｈＳｅｔ（ＲＳ）理论，讨论了ＲＳ理论进行决策分析的方法，提出了将连续属性离散化的最优化思想，并探讨了ＲＳ理论用于测井数据判别油水层的问题。判别结果表明：本方法具有速度快、易实现、可优选属性等特点，且判别符合率优于手工方法与ＢＰ网络方法，具有实用价值。
This paper first introduces briefly the Rough Set( RS ) theory,which is a new theory in intelligent data processing;discusses the method of decision analysis based on RS ;advances an optimization idea of continuous attributes discretization;and explores the problem of oil and water beds identification with RS theory as well as logging data. The result shows that the method has the characteristics of fast computation,easy realization and attributes optimazation available etc.,and that the identifing tally ratio of the method is better than both the manual and the BP network methods. Therefore,the method is applicable
出处
《地球物理学进展》
CSCD
1998年第4期52-59,共8页
Progress in Geophysics
基金
国家自然科学基金
湖北省自然科学基金
关键词
智能信息处理
RS理论
油水层识别
电阻率测井
Intelligent data processing
Rough Set theory
Identification of oil and water
Resistivity
Acoustic time
Logging curve
Artificial neural network
