Results 111 to 120 of about 8,805 (137)
In order to avoid combinatorial rule explosion in fuzzy reasoning, in this work we explore the distributive equation of implication I(T(x, y), z) = S(I(x, z), I(y, z)). In detail, by means of the sections of I, we give out the sufficient and necessary conditions of solutions for the distributive equation of implication I(T (x, y), z) = S(I(x, z), I(y ...
Feng Qin, Ping-Chong Yang
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On the determination of left-continuous t-norms and continuous archimedean t-norms on some segments
A \(t\)(riangular) norm is a function \(T:[0,1]^2\to [0,1]\) such that for all \(x,y,z\in [0,1]\) we have \(T(x,y)=T(y,x),\,T(T(x,y),z)=T(x,T(y,z)),\,T(x,1)=x\) and \(T(x,\cdot)\) is increasing. The author finds new sets of uniqueness for (continuous Archimedean and left continuous) \(t\)-norms. These sets of uniqueness are some vertical segments of \([
Sándor Jenei
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During previous IPMU 2010 conference we have started investigations connected with finding all solutions of the distributive equation of implications \(\mathcal{I}(x,\mathcal{T}_1(y,z)) = \mathcal{T}_2(\mathcal{I}(x,y),\mathcal{I}(x,z))\) over t-representable t-norms in interval-valued fuzzy sets theory, i.e., when t-representable t-norms \(\mathcal{T ...
Michał Baczyński
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Characterizations of uni-nullnorms with continuous Archimedean underlying t-norms and t-conorms
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Feng Sun, Xue-ping Wang, Xiao-bing Qu
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The dominance relation in some families of continuous Archimedean t-norms and copulas
Recently, \textit{P. Sarkoci} [Aequationes Math. 75, No. 3, 201--207 (2008; Zbl 1148.26016)] has shown that the dominance relation is not transitive in the class of continuous t-norms. When applying triangular norms, mostly some special families are considered and then it is important to know whether the transitivity of the dominance relation holds in ...
Susanne Saminger‐Platz
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In this article we continue investigations presented at previous WILF 2011 conference which are connected with distributivity of implication operations over t-representable t-norms and t-conorms. Our main goal is to show the general method of solving the following distributivity equation \(\mathcal{I}(\mathcal{S}(x,y),z) = \mathcal{T}(\mathcal{I}(x,z),\
Michał Baczyński
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Constructing new loss functions for machine learning using strict continuous Archimedean t-norms
Mohamed Hssini, Mustapha Atraoui
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