Title :
System Parameter Estimation and Performance Prediction Using Fuzzy-Set Theory
Author_Institution :
Henan Univ. of Sci. & Technol., Luoyang
Abstract :
A novel method based on fuzzy-set theory, which permits the probability distribution unknown and the data number small, is introduced to overcome the defect of classical statistics. Some concepts including point and interval estimation, optimal level, empirical probability distribution and confidence level are recommended. The performance prediction in the system for application is also investigated. The validity of this method is examined by engineering experiment under the condition of small sample. The confidence level is proved to be higher than 95%.
Keywords :
fuzzy set theory; parameter estimation; statistical distributions; classical statistics; empirical probability distribution; fuzzy-set theory; interval estimation; performance prediction; system parameter estimation; Data engineering; Data processing; Educational institutions; Equations; Fuzzy sets; Instruments; Mechanical variables measurement; Parameter estimation; Probability distribution; Statistical distributions; Data processing; Empirical distribution function; Fuzzy-set theory; Parameter estimation; Prediction;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350605
