Attribute reduction and decision-making model based on gray dual-information

摘要

This paper studies the attribute reduction and decision-making with gray dual-information taking into account of the attribute reduction of attribute decision is unknown because of the interval gray numbers. The attribute weights are obtained by considering the consistency of experts' judgment matrixes and the decision matrixes with gray information. some experts' attribute reduction ideas are proposed based on interval gray numbers of rough set. With the help of experts' decision information, attribute uncertainty ratio and attribute value ratio are considered to reduce attribute. Finally, a numerical example shows its feasibility.