一种基于Sugeno模糊模型的测量数据处理方法  

A Sugeno's Fuzzy Model Based Method for The Measurement Data Processing

作　　者：边润强[1] 陈增强[2] 袁著祉[2] 

机构地区：[1]天津理工学院自动化系,天津300191 [2]南开大学计算机与系统科学系,天津300071

出　　处：《仪器仪表学报》2001年第3期318-320,共3页Chinese Journal of Scientific Instrument

基　　金：国家 8 63CIMS应用基础研究! (863- 51 1 - 945- 0 1 0 );天津市自然科学基金!(97360 0 31 1 )资助项目

摘　　要：本文提出一种基于 Sugeno模糊模型的、针对测量时间受限条件下测量数据处理的模糊决策方法。该方法利用概率理论和模糊逻辑 ,分析处理多个中间测量结果中存在的不确定因素 ,并对这些结果进行有效融合。在动态称重系统中的应用结果表明 。A method based on Sugeno's fuzzy model is presented here for the fuzzy decision making and for the measurement data processing in the time-limited conditions. The possibility theory and fuzzy logic are applied in this method to analyze and process the uncertain factors in the abecedarian measurement results, and an effective fusion can be made of the results. This method has been applied in a dynamic measurement system, and the result shows that it can improve the precision of the measurement system.

关 键 词：测量数据处理 模糊决策 数据融合 SUGENO模糊模型 工业生产 

分 类 号：TB9[一般工业技术—计量学] TP274[机械工程—测试计量技术及仪器]