Given real-valued data set (with continuous data) what is the most appropriate approach to extract decision rules from the data? The neighborhood rough set model or the fuzzy sets?
Rough set is the better than Fuzzy set for real-valued data set. From the view point of the applications of Transportation Problem or other Optimization Problem.