DocumentCode
3664044
Title
A note on fuzzy-transform approximation of fuzzy numbers
Author
Lucian Coroianu;Luciano Stefanini
Author_Institution
Department of Mathematics and Computer Science, University of Oradea, Romania
fYear
2015
Firstpage
1
Lastpage
6
Abstract
A possibilistic representation of fuzzy numbers/intervals can be obtained in terms of a fuzzy distribution function (the average of the possibility and necessity functions). The fuzzy distribution function is monotonic non decreasing upper-semicontinuous and there exists a simple one-to-one correspondence between the space of such functions and the space of fuzzy numbers, i.e., with normal, upper semicontinuous quasi concave membership function. As a consequence, the monotonic F-transform approximation of the fuzzy distribution function produces an approximation of any fuzzy number. Properties and examples are given.
Keywords
"Distribution functions","Radio frequency","Cognition","Estimation","Convergence","Chebyshev approximation"
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
Type
conf
DOI
10.1109/NAFIPS-WConSC.2015.7284184
Filename
7284184
Link To Document