Fuzzy Rough Information Measures and their Applications

The degree of roughness characterizes the uncertainty contained in a rough set. The rough entropy wasdefined to measure the roughness of a rough set. Though, it was effective and useful, but not accurateenough. Some authors use information measure in place of entropy for better understanding whichmeasures the amount of uncertainty contained in fuzzy rough set .In this paper three new fuzzy roughinformation measures are proposed and their validity is verified. The application of these proposedinformation measures in decision making problems is studied and also compared with other existinginformation measures.