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» Goal-Directed Methods for Fuzzy Logics
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EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 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...
FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
15 years 2 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
ICIP
2009
IEEE
14 years 7 months ago
Wavelet based fuzzy perceptual mask for images
One of the characteristics of the Human Visual System (HVS) is to model the sensitivity of the human eye at each coordinate location in the image. This paper explores the use of fu...
Mukesh C. Motwani, Rakhi C. Motwani, Frederick C. ...
RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
14 years 7 months ago
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
FSS
2008
124views more  FSS 2008»
14 years 10 months ago
Exact calculations of extended logical operations on fuzzy truth values
In this paper we propose computationally simple, pointwise formulas for extended t-norms and t-conorms on fuzzy truth values. The complex convolutions of the extended operations a...
Zsolt Gera, József Dombi