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» Measuring the Interpretive Cost in Fuzzy Logic Computations
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ISCI
2007
138views more  ISCI 2007»
13 years 4 months ago
Uncertainty measures for interval type-2 fuzzy sets
Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewn...
Dongrui Wu, Jerry M. Mendel
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 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...
EUSFLAT
2009
132views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 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...
SAC
1998
ACM
13 years 8 months ago
Object oriented process modeling with fuzzy logic
Fuzzy Logic has traditionally found an application in control theory, systems analysis, and artificial intelligence [9] [7]. However, it is very difficult to apply it to tradition...
Luigi Benedicenti, Giancarlo Succi, Tullio Vernazz...