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EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish
ATMOS
2011
261views Optimization» more  ATMOS 2011»
12 years 4 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...
EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
EUSFLAT
2001
103views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
The importance of learning in fuzzy systems
One of the superior capabilities of fuzzy systems is that they can use the information expressed in a linguistic pattern. Though most fuzzy systems, have been formed to emulate hu...
Ahmad Lotfi
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide