# T-norm

Known as: T-conorm, Triangular norm, S-norm
In mathematics, a t-norm (also T-norm or, unabbreviated, triangular norm) is a kind of binary operation used in the framework of probabilistic metric… (More)
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## Papers overview

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Highly Cited
2012
Highly Cited
2012
• Knowl.-Based Syst.
• 2012
Archimedean t-conorm and t-norm are generalizations of a lot of other t-conorms and t-norms, such as Algebraic, Einstein… (More)
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Highly Cited
2010
Highly Cited
2010
• IEEE Transactions on Systems, Man, and…
• 2010
In this paper, we first present a simple but effective L1-norm-based two-dimensional principal component analysis (2DPCA… (More)
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Highly Cited
2009
Highly Cited
2009
• Fuzzy Sets and Systems
• 2009
Fuzzy description logics (DLs) are a family of logics which allow the representation of (and the reasoning within) structured… (More)
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Highly Cited
2009
Highly Cited
2009
• IEEE Transactions on Signal Processing
• 2009
In this paper, a fast algorithm for overcomplete sparse decomposition, called SL0, is proposed. The algorithm is essentially a… (More)
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2006
2006
• IEEE International Conference on Fuzzy Systems
• 2006
Triangular norms or t-norm, in short, and automorphisms are very useful to fuzzy logics in the narrow sense. Moreover, these… (More)
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Highly Cited
2005
Highly Cited
2005
• COLT
• 2005
We study the rank, trace-norm and max-norm as complexity measures of matrices, focusing on the problem of fitting a matrix with… (More)
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Highly Cited
2004
Highly Cited
2004
• IEEE Transactions on Fuzzy Systems
• 2004
Intuitionistic fuzzy sets form an extension of fuzzy sets: while fuzzy sets give a degree to which an element belongs to a set… (More)
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2003
2003
• INTERSPEECH
• 2003
A popular score normalization technique termed T-norm is the central focus of this paper. Based on widely confirmed experimental… (More)
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Highly Cited
2000
Highly Cited
2000
• VLDB
• 2000
Fast indexing in time sequence databases for similarity searching has attracted a lot of research recently. Most of the proposals… (More)
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1984
1984
The aim of this paper is to provide new results regarding the effective practical computation of t-norm-based additions of LR… (More)
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