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» The importance of learning in fuzzy systems
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ICALT
2006
IEEE
14 years 1 months ago
Neuro Fuzzy Reasoner for Student Modeling
This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their c...
Zoran Sevarac
FSKD
2008
Springer
128views Fuzzy Logic» more  FSKD 2008»
13 years 8 months ago
Applying Fuzzy PROMETHEE Method for Evaluating IS Outsourcing Suppliers
The demand for outsourcing in the information systems (IS) field has become a part of basic corporate strategy and has experienced a considerable growth in recent years. The proce...
Tien-Chin Wang, L. Y. Chen, Ying-Hsiu Chen
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
13 years 12 months ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
Alencar de Melo Jr., Juan Manuel Adán Coell...
IJCNN
2007
IEEE
14 years 1 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
HAIS
2009
Springer
13 years 5 months ago
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...