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» Establishing Logical Rules from Empirical Data
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EUSFLAT
2001
13 years 9 months ago
Fuzzy logic in architectural design
Architecture is a multidisciplinary science with many dimensions.For a design task the major part of the design requirements are often qualitative (soft) next to quantitative desi...
Özer Ciftcioglu, S. Durmisevic
AGENTS
1998
Springer
13 years 12 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
APIN
2008
116views more  APIN 2008»
13 years 7 months ago
Updating generalized association rules with evolving taxonomies
Abstract-Mining generalized association rules between items in the presence of taxonomy has been recognized as an important model in data mining. Earlier work on mining generalized...
Ming-Cheng Tseng, Wen-Yang Lin, Rong Jeng
ICAISC
2010
Springer
13 years 7 months ago
Pruning Classification Rules with Reference Vector Selection Methods
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
Karol Grudzinski, Marek Grochowski, Wlodzislaw Duc...
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FUZZIEEE
2007
IEEE
13 years 11 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou