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FUZZIEEE
2007
IEEE
15 years 6 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
JMM2
2008
67views more  JMM2 2008»
14 years 12 months ago
Interactive Face Generation from Verbal Description Using Conceptual Fuzzy Sets
In this article, a human centered approach for interactive face generation is presented. The users of the system are given the possibility to interactively generate faces from verb...
Hafida Benhidour, Takehisa Onisawa
IFSA
2007
Springer
149views Fuzzy Logic» more  IFSA 2007»
15 years 6 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interv
One of the important components of granular computing is interval computations. In interval computations, at each intermediate stage of the computation, we have intervals of possi...
Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk...
FSS
2008
108views more  FSS 2008»
14 years 12 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...
ISCI
2010
103views more  ISCI 2010»
14 years 10 months ago
Generalized continuous and left-continuous t-norms arising from algebraic semantics for fuzzy logics
This paper focuses on the issue of how generalizations of continuous and leftcontinuous t-norms over linearly ordered sets should be from a logical point of view. Taking into acco...
Carles Noguera, Francesc Esteva, Lluis Godo