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EUSFLAT
2009
132views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations
This paper demonstrates that several known sequence kernels can be expressed in a unified framework in which the position specificity is modeled by fuzzy equivalence relations. In ...
Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ion...
FSS
2008
110views more  FSS 2008»
13 years 7 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
CORR
2008
Springer
216views Education» more  CORR 2008»
13 years 7 months ago
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
Sébastien Destercke, Serge Guillaume, Brigi...
EUSFLAT
2009
343views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Towards an Interpretation of the Connectivity Analysis in the Frame of Fuzzy Equivalence Relations for Medical Diagnoses
Connectivity analysis methodology is suitable to find representative symptoms of a disease. This methodology describes connections between symptoms in particular way and then choos...
Tatiana Kiseliova
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...