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FSS
2002
99views more  FSS 2002»
13 years 9 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
ADMA
2009
Springer
121views Data Mining» more  ADMA 2009»
13 years 7 months ago
Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
Comparison and data analysis to the similarity measures and entropy for fuzzy sets are studied. The distance proportional value between the fuzzy set and the corresponding crisp se...
Hongmei Wang, Sanghyuk Lee, Jaehyung Kim
AUTOMATICA
2006
81views more  AUTOMATICA 2006»
13 years 9 months ago
An energy-gain bounding approach to robust fuzzy identification
A novel method for the robust identification of interpretable fuzzy models, based on the criterion that identification errors are least sensitive to data uncertainties and modelli...
Mohit Kumar, Norbert Stoll, Regina Stoll
EUSFLAT
2009
146views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
Local Models for the Analysis of Spatially Varying Relationships in a Lignite Deposit
-- Relationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compare...
Bulent Tutmez, A. Erhan Tercan, Uzay Kaymak, Chris...
SIBGRAPI
2007
IEEE
14 years 4 months ago
Seed-Relative Segmentation Robustness of Watershed and Fuzzy Connectedness Approaches
This paper analyzes the robustness issue in three segmentation approaches: the iterative relative fuzzy object extraction, the watershed transforms (WT) by image foresting transfo...
Romaric Audigier, Roberto de Alencar Lotufo