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» Fuzzy Description Logics and t-norm based fuzzy logics
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EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 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...
FSS
2010
119views more  FSS 2010»
13 years 7 months ago
Algebraic and proof-theoretic characterizations of truth stressers for MTL and its extensions
Extensions of monoidal t-norm logic MTL and related fuzzy logics with truth stresser modalities such as globalization and “very true” are presented here both algebraically in ...
Agata Ciabattoni, George Metcalfe, Franco Montagna
AUSAI
2006
Springer
14 years 10 days ago
Intelligent Control of Mobile Agent Based on Fuzzy Neural Network in Intelligent Robotic Space
This paper introduces Fuzzy Neural Network controller to increase the ability of a mobile robot in reacting to the dynamic environments. States of robot and environment, for exampl...
TaeSeok Jin, HongChul Kim, JangMyung Lee
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
Fuzzy and PSO Based Algorithm for Driver's Behavior Modeling
The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the...
Sohrab Khanmohammadi, Mohammad Ali Tinati, Sehrane...