Classification of Oil Spills using Computational Intelligence
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Date
2013
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Abstract
Rough set theory is one of the useful cohiputati^ni^Ulhfelligence tools which can be used to deal with vague
information and to take important decision in uheeftain domain. Rough set theory is useful for decision making in
situation where indiscernibility is present. Rough sets do not require experienced knowledge engineers to provide
dditional information about the niembership functigns for being processed. In this paper Rough Set method is used
ar dimensionality reduction of oil spill feature space in SAR imagery. Reducing the number of features results in
reduced feature space which improves the prediction, accuracy and minimizes the classification time.