DocumentCode :
344654
Title :
Justification of heuristic methods in data processing using fuzzy theory, with applications to detection of business cycles from fuzzy data
Author :
Kreinovich, Vladik ; Nguyen, Hung T. ; Wu, Berlin
Author_Institution :
Dept. of Comput. Sci., Texas Univ., El Paso, TX, USA
Volume :
2
fYear :
1999
fDate :
22-25 Aug. 1999
Firstpage :
1131
Abstract :
In this paper, we show that fuzzy theory can explain heuristic methods in inverse problems and numerical computations. As an example of application of these results, we analyze the problem of detecting business cycles from fuzzy data.
Keywords :
business data processing; fuzzy set theory; image processing; inverse problems; optimisation; business cycle detection; data processing; eigenvalues; fuzzy set theory; heuristic methods; image processing; inverse problems; Application software; Computer science; Data processing; Eigenvalues and eigenfunctions; Equations; Extraterrestrial measurements; Image reconstruction; Inverse problems; Polynomials; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
ISSN :
1098-7584
Print_ISBN :
0-7803-5406-0
Type :
conf
DOI :
10.1109/FUZZY.1999.793114
Filename :
793114
Link To Document :
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