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» The importance of learning in fuzzy systems
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FSS
2008
147views more  FSS 2008»
13 years 7 months ago
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy rule-based systems. The insight that FAMs are closely related to mathematical morphology (M...
Marcos Eduardo Valle, Peter Sussner
IFSA
2007
Springer
110views Fuzzy Logic» more  IFSA 2007»
14 years 1 months ago
Selection Criteria for Fuzzy Unsupervised Learning: Applied to Market Segmentation
The use of unsupervised fuzzy learning methods produces a large number of alternative classifications. This paper presents and analyzes a series of criteria to select the most sui...
Germán Sánchez, Núria Agell, ...
EUSFLAT
2007
140views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems
In this paper a multistage fuzzy controller is designed and implemented on the ball and beam system which is a well-known benchmark in the control area because of its nonlinear, u...
Abbas Khosravi, Jie Lu, Xianyi Zeng, R. Barzamini
EUSFLAT
2009
152views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 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...
JMLR
2010
137views more  JMLR 2010»
13 years 2 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton