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» Some results of fuzzy BCK-filters
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FSS
2008
130views more  FSS 2008»
13 years 7 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
TKDE
2008
197views more  TKDE 2008»
13 years 7 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
ICPR
2008
IEEE
14 years 8 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
ICB
2009
Springer
224views Biometrics» more  ICB 2009»
14 years 2 months ago
Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method
As we all know, face age estimation task is not only challenging for computer, but even hard for human in some cases, however, coarse age classification such as classifying human f...
Feng Gao, Haizhou Ai
RSFDGRC
2009
Springer
14 years 2 months ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen