DocumentCode :
1062385
Title :
Construction of k -Lipschitz Triangular Norms and Conorms From Empirical Data
Author :
Beliakov, Gleb ; Calvo, Tomasa
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia
Volume :
17
Issue :
5
fYear :
2009
Firstpage :
1217
Lastpage :
1220
Abstract :
This paper examines the practical construction of k -Lipschitz triangular norms and conorms from empirical data. We apply a characterization of such functions based on k-convex additive generators and translate k-convexity of piecewise linear strictly decreasing functions into a simple set of linear inequalities on their coefficients. This is the basis of a simple linear spline-fitting algorithm, which guarantees k-Lipschitz property of the resulting triangular norms and conorms.
Keywords :
fuzzy logic; fuzzy set theory; piecewise linear techniques; splines (mathematics); empirical data; fuzzy set theory; k-Lipschitz triangular conorm; k-Lipschitz triangular norm; k-convex additive generator; linear inequality; linear spline-fitting algorithm; piecewise linear translation; $k$-Lipschitz aggregation functions; Aggregation operators; fuzzy sets; triangular norms;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2009.2024412
Filename :
5067335
Link To Document :
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