Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Hierarchical Rough Classifiers
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Air quality modelling by decision trees in the Czech Republic locality
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Classification model based on rough and fuzzy sets theory
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
On possible rules and apriori algorithm in non-deterministic information systems
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
A method of generating decision rules in object–oriented rough set models
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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This paper analyses rough sets approaches to air quality assessment in given locality of the Czech Republic (CR). Original data for modeling we obtained from the daily observation of air polluting substances concentrations in town Pardubice. Two applications were used for decision rules computation and achieved results are compared and analysed. Output of this paper is the proposal how to assign an air quality index (AQI) to the selected locality, on the basis of various attributes.