Results 161 to 170 of about 2,710 (210)

Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral

2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, 2011
Fuzzy integral is a general aggregation operator,which encompasses many common aggregation operators likeweighted mean, ordered weighted mean, weighted minimumand maximum, etc. In classifier combining, it can be usedto aggregate the outputs of the individual classifiers in theteam with respect to a fuzzy measure, based on the classifierconfidences.
David Štefka, Martin Holena
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On the distributivity between t-norms and t-conorms

Fuzzy Sets and Systems, 2004
The paper deals with conditions and consequences of distributivity between t-norms and t-conorms defined on a general closed interval (rather than on \([0,1]\)). The research is motivated by the problems connected with the application of those concepts in fuzzy set theory (with the operations of intersection and union) and in the Forte-de Feriet ...
Bertoluzza, Carlo, Doldi, Viviana
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EXTREMAL k-LIPSCHITZ t-CONORMS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2006
Class of k-Lipschitz t-conorms is shown to have no strongest element for k > 1. Pointwise supremum of the class of k-Lipschitz t-conorms is introduced and the best approximation of this supremum by k-Lipschitz t-conorm is constructed.
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Reducing t-norms and augmenting t-conorms

International Journal of General Systems, 2002
We study here the behavior of the t-norms at the point (1/2, 1/2). We indicate why this point can be considered as significant in the specification of t-norms. Then, we suggest that the image of this point can be used to classify the t-norms. We consider some usual examples. We also study the case of parameterized t-norms.
Detyniecki, Marcin, Yager, Ronald R., Bouchon-Meunier, Bernadette   +2 more
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Nestings of T–Conorms

2009
This paper deals with a new method to construct a new t---conorm from two previous ones, by what we call a nesting procedure. After some general considerations about this method, we study those t---conorms obtained by nesting appropriate t---conorms in the basic maximum, drastic and Lukasiewicz t---conorms.
Javier Martín, Gaspar Mayor, Jaume Monreal   +2 more
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Preference structures: Qualitative judgements based on smooth t-conorms

Information Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
I. Aguiló, T. Calvo, P. Fuster-Parra, J. Martin, G. Mayor, J. Suñer   +5 more
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Some properties of t-conorm fuzzy additives

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002
In this paper, we introduce new concepts of S-fuzzy additive and S/sub w/-fuzzy additive measures and discuss some properties of S-possibility measures and their dual T-necessity measures.
H.M. Kim, J.D. Jeon, L.C. Jang
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On the distributivity of fuzzy implications over continuous Archimedean t-conorms and continuous t-conorms given as ordinal sums

Fuzzy Sets and Systems, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xie, Aifang, Liu, Huawen, Zhang, Fengxia, Li, Cheng   +3 more
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Propositional Belief Merging with T-conorms

2017
We analyze in this paper the impact of introducing fuzzy T-conorm operators in the area of belief merging. There are mainly two subclasses of merging operators: the utilitarian and the egalitarian ones. We prove that a T-conorm merging operator can be included in the subtype of egalitarian operators.
Henrique Viana, João Alcântara
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