A decision analysis method based on rough-fuzzy sets integration model
Yaqun He, HU Shou-song · Kongzhi yu juece · 2004
A method of decision rules acquisition is proposed for continuous attributes decision system by combining rough sets and fuzzy sets. The method transforms the continuous attributes value into the fuzzy value with fuzzy membership functions, and avoids the discretization of continuous attributes. The fuzzy value expression is given, and the concepts of fuzzy similarity relation and fuzzy similarity classes is proposed. Lower and upper approximations of rough-fuzzy approximation space and their properties are given.A method of system reduction is also presented. Finally, as an example of effectiveness evaluation of the self-repairing flight control system, the decision rules of self-repairing effectiveness evaluation are given.