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» Fuzzy Description Logics and t-norm based fuzzy logics
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ARTCOM
2009
IEEE
14 years 3 months ago
Image Segmentation - A Survey of Soft Computing Approaches
—Soft Computing is an emerging field that consists of complementary elements of fuzzy logic, neural computing and evolutionary computation. Soft computing techniques have found w...
N. Senthilkumaran, R. Rajesh
ISCI
2010
96views more  ISCI 2010»
13 years 7 months ago
Multi-adjoint t-concept lattices
The t-concept lattice is introduced as a set of triples associated to graded tabular information interpreted in a non-commutative fuzzy logic. Following the general techniques of ...
Jesús Medina, Manuel Ojeda-Aciego
EUSFLAT
2003
106views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
An XML vocabulary for soft computing
This paper presents iXSCL, an XML based language for the specification of objects in the Soft Computing area. iXSCL adopts a compositional approach in which objects are construct...
Adolfo R. de Soto, Conrado A. Capdevila, Eva Cuerv...
FUZZY
1997
Springer
166views Fuzzy Logic» more  FUZZY 1997»
14 years 26 days ago
Optimizing Video Signal Processing Algorithms by Evolution Strategies
Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of hum...
H. Blume, O. Franzen, M. Schmidt
FUZZIEEE
2007
IEEE
14 years 3 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...