DocumentCode
1721639
Title
System Parameter Estimation and Performance Prediction Using Fuzzy-Set Theory
Author
Xintao, Xia
Author_Institution
Henan Univ. of Sci. & Technol., Luoyang
fYear
2007
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2007.4350605
Filename
4350605
Link To Document