DocumentCode :
1701903
Title :
Probability density function and fuzzy system based on a set of input - output data
Author :
Wang, Yun-tao ; Yuan, Xue-hai ; Li, Hong-xing
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian, China
fYear :
2010
Firstpage :
3820
Lastpage :
3824
Abstract :
Based on a set of input - output data, we first build a joint probability density function of certain two-dimensional random variables utilizing fuzzy inference rules, then propose its marginal probability density function and numerical characteristics. Finally, it is pointed out that the fuzzy system constructed with center of gravity defuzzifier is a regression function in the sense of probability theory and has the first-order approximation accuracy.
Keywords :
approximation theory; fuzzy control; fuzzy reasoning; fuzzy systems; probability; regression analysis; first-order approximation accuracy; fuzzy inference rules; fuzzy system; gravity defuzzifier; input-output data; marginal probability density function; numerical characteristics; probability theory; regression function; two-dimensional random variables; Approximation methods; Density functional theory; Fuzzy control; Gravity; Joints; Probability density function; fuzzy inference; fuzzy system; numerical characteristics; probability distribution; universal approximations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554990
Filename :
5554990
Link To Document :
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