DocumentCode
2351225
Title
CALIBRA for fuzzy concepts
Author
Zanusso, Maria Bernadete ; Araú, Aldrovando L A
Author_Institution
Cidade Univ., Campo Grande, Brazil
fYear
1998
fDate
9-11 Dec 1998
Firstpage
130
Lastpage
134
Abstract
This paper presents a system for calibration of the involved parameters in the classification and characterization process of fuzzy concepts that use t-norm differentiable and related membership families for the definition of characterizing functions. An empirical evaluation using the data set iris shows the comparability with the classical methods of classification. We also make a conjecture that relate any continuous membership function with the defined families
Keywords
fuzzy set theory; pattern classification; CALIBRA; calibration; continuous membership function; fuzzy concepts; related membership families; t-norm differentiable membership families; Calibration; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Graphics; Iris; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location
Belo Horizonte
Print_ISBN
0-8186-8629-4
Type
conf
DOI
10.1109/SBRN.1998.731009
Filename
731009
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