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RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
15 years 7 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
AAAI
2008
15 years 6 months ago
A Neuro-Fuzzy Strategy for Web Personalization
In this paper, we propose the use of a neuro-fuzzy strategy to develop a Web personalization framework for the dynamic suggestion of URLs retained interesting for the currently co...
Giovanna Castellano, Anna Maria Fanelli, Paola Pla...
WSC
1998
15 years 5 months ago
Input Modeling Tools for Complex Problems
A simulation model is composed of inputs and logic; the inputs represent the uncertainty or randomness in the system, while the logic determines how the system reacts to the uncer...
Barry L. Nelson, Michael Yamnitsky
IPL
2006
99views more  IPL 2006»
15 years 4 months ago
Computational complexity of queries based on itemsets
We investigate determining the exact bounds of the frequencies of conjunctions based on frequent sets. Our scenario is an important special case of some general probabilistic logi...
Nikolaj Tatti
IJAR
2010
189views more  IJAR 2010»
15 years 2 months ago
A fuzzy random forest
Following Breiman’s methodology, we propose a multi-classifier based on a “forest” of randomly generated fuzzy decision trees, i.e., a Fuzzy Random Forest. This approach co...
Piero P. Bonissone, José Manuel Cadenas, M....