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EUSFLAT
2003
125views Fuzzy Logic» more  EUSFLAT 2003»
15 years 1 months ago
On convex-concave perception based functions
Perception based function (PBF) is given by the set of rules Ri:“If X is Ti then Y is Si”, where Ti is a linguistic term describing some fuzzy intervals Ai on the domain of re...
Ildar Z. Batyrshin, Aleksandra Panova
TSMC
2008
137views more  TSMC 2008»
14 years 11 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao
CEC
2007
IEEE
15 years 6 months ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
VLSISP
2002
124views more  VLSISP 2002»
14 years 11 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 3 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...