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FSS
2002
99views more  FSS 2002»
13 years 6 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 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...
CIT
2007
Springer
14 years 1 months ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
ACIVS
2006
Springer
14 years 1 months ago
A New Fuzzy-Based Wavelet Shrinkage Image Denoising Technique
This paper focuses on fuzzy image denoising techniques. In particular, we investigate the usage of fuzzy set theory in the domain of image enhancement using wavelet thresholding. W...
Stefan Schulte, Bruno Huysmans, Aleksandra Pizuric...
ASC
2004
13 years 7 months ago
Evaluation of services using a fuzzy analytic hierarchy process
This paper proposes a new approach for tackling the uncertainty and imprecision of the service evaluation process. Identifying suitable service offers, evaluating the offers and c...
Ludmil Mikhailov, Petco E. Tsvetinov