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WILF
2009
Springer
150views Fuzzy Logic» more  WILF 2009»
14 years 3 months ago
General Fuzzy Answer Set Programs
A number of generalizations of answer set programming have been proposed in the literature to deal with vagueness, uncertainty, and partial rule satisfaction. We introduce a unifyi...
Jeroen Janssen, Steven Schockaert, Dirk Vermeir, M...
ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ICTAI
2008
IEEE
14 years 3 months ago
Fuzzy Information Retrieval Model Based on Multiple Related Ontologies
– With the World Wide Web popularity the information retrieval area has a new challenge intending to retrieve information resources by their meaning by using a knowledge base. No...
Maria Angelica A. Leite, Ivan L. M. Ricarte
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
14 years 1 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
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...