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EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...
AI
2005
Springer
14 years 11 months ago
Integrating Web Content Clustering into Web Log Association Rule Mining
Abstract. One of the effects of the general Internet growth is an immense number of user accesses to WWW resources. These accesses are recorded in the web server log files, which...
Jiayun Guo, Vlado Keselj, Qigang Gao
TFS
2008
174views more  TFS 2008»
14 years 9 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
CIMCA
2005
IEEE
14 years 11 months ago
Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization
This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
Mehmet Bodur, Adnan Acan, Talip Akyol
AGI
2008
14 years 11 months ago
Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach
: Indefinite probabilities are a novel technique for quantifying uncertainty, which were created as part of the PLN (Probabilistic Logic Networks) logical inference engine, which i...
Matthew Iklé, Ben Goertzel