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» Logic-oriented fuzzy clustering
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KES
2000
Springer
14 years 1 months ago
Effects of antecedent pruning in fuzzy classification systems
Fuzzy classification rules are widely considered a well-suited representation of classification knowledge, as they allow readable and interpretable rule bases. The goal of this pa...
Andreas Nürnberger, Aljoscha Klose, Rudolf Kr...
EUSFLAT
2001
108views Fuzzy Logic» more  EUSFLAT 2001»
13 years 11 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
Alexander Gegov
EUSFLAT
2001
100views Fuzzy Logic» more  EUSFLAT 2001»
13 years 11 months ago
Fuzzy modelling using fuzzy mathematical programming
In this paper we will describe several methods that solve, using mathematical programming, different problems that, although can be used in others fields in the fuzzy modelling co...
José Manuel Cadenas, M. Carmen Garrido, J. ...
IAJIT
2008
115views more  IAJIT 2008»
13 years 10 months ago
Optimal Fuzzy Clustering in Overlapping Clusters
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
Ouafae Ammor, Abdelmounim Lachkar, Khadija Slaoui,...
ENGL
2007
191views more  ENGL 2007»
13 years 10 months ago
Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...
Juan E. Moreno, Oscar Castillo, Juan R. Castro, Lu...