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» Feature Extraction Using Fuzzy Rule Based System
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TFS
2008
117views more  TFS 2008»
14 years 9 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
FSS
2006
154views more  FSS 2006»
14 years 9 months ago
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P....
DASFAA
2007
IEEE
297views Database» more  DASFAA 2007»
15 years 4 months ago
OLYBIA: Ontology-Based Automatic Image Annotation System Using Semantic Inference Rules
One of the big issues facing current content-based image retrieval is how to automatically extract the high-level concepts from images. In this paper, we present an efficient syste...
Kyung-Wook Park, Jin-Woo Jeong, Dong-Ho Lee
FSKD
2006
Springer
190views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
A Maximum Entropy Model Based Answer Extraction for Chinese Question Answering
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibil...
Ang Sun, Minghu Jiang, Yanjun Ma
HIS
2003
14 years 11 months ago
Design of Transparent Mamdani Fuzzy Inference Systems
: In this paper, we propose a technique to design Fuzzy Inference Systems (FIS) of Mamdani type with transparency constraints. The technique is based on our Crisp Double Clustering...
Giovanna Castellano, Anna Maria Fanelli, Corrado M...