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» Fuzzy Clustering Based on Total Uncertainty Degree
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EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
13 years 7 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
IJAR
2006
197views more  IJAR 2006»
13 years 6 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
IJIS
2008
123views more  IJIS 2008»
13 years 6 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
GRC
2010
IEEE
13 years 6 months ago
Interval Type-2 Fuzzy PI Controllers: Why They are More Robust
Abstract—Many experiments have shown that interval type2 (IT2) fuzzy PI controllers are generally more robust than their type-1 (T1) counterparts, as they are better able to cope...
Dongrui Wu, Woei Wan Tan
ICTAI
2007
IEEE
14 years 9 days ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi