DocumentCode
2071615
Title
Probability density function approximation using fuzzy rules
Author
Ayala-Ramirez, Victor ; Sanchez-Yanez, Raul E. ; Ibarra-Manzano, Oscar G. ; Montecillo-Puente, Francisco J.
Author_Institution
FIMEE, Univ. de Guanajuato, Salamanca
fYear
2006
fDate
7-10 Nov. 2006
Firstpage
220
Lastpage
222
Abstract
In this work, we present how to encode a probability density function (pdf) by using fuzzy logic. Our approach saves storage space when compared to approaches encoding the pdf in a lookup table. In addition, we do not need any interpolation scheme because the universal approximator capabilities of fuzzy systems. We present a procedure to optimally encode pdf values for unidimensional and bidimensional pdfs. We also evaluate the performance of our system with respect to the number of fuzzy sets used to describe pdfs in a symbolic way.
Keywords
function approximation; fuzzy logic; fuzzy set theory; probability; encoding; fuzzy logic; fuzzy rule; fuzzy set; fuzzy system; interpolation; lookup table; machine learning; probability density function approximation; robot; Electronic mail; Encoding; Function approximation; Fuzzy logic; Fuzzy sets; Fuzzy systems; Interpolation; Least squares approximation; Probability density function; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Photonics, 2006. MEP 2006. Multiconference on
Conference_Location
Guanajuato
Print_ISBN
1-4244-0627-7
Electronic_ISBN
1-4244-0628-5
Type
conf
DOI
10.1109/MEP.2006.335667
Filename
4135751
Link To Document