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Second, the resultant transparency of the monitoring process can be improved if fewer variables are involved. Third, it is often observed that the accuracy of the monitoring system can be signi cantly improved using fewer variables [322]. FRFS is here applied to the water treatment plant dataset [38] as an example of how this fuzzy-rough method can be used within the systems monitoring domain. Additionally the new feature grouping and ant colony optimization-based methods are applied to this domain to show their potential utility. Algae population estimation is another important area that bene ts greatly from the use of feature selection. FRFS can be used to signi cantly reduce computer time and space requirements. Also it decreases the cost of obtaining measurements and increases runtime ef ciency, making the system more viable economically. 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