Model of Logical Difference Operation of Grade Lower Approximation Operator and Variable Precision Upper Approximation Operator
Xianyong Zhang, Zhiwen Mo, Fang Xiong · 2009
Precision and grade are two important quantitative indexes. The purpose of this paper is to combine precision and grade, and explore new extended rough set model. Based on logical difference operation of grade and precision, this paper proposes model of logical difference operation of grade lower approximation operator and variable precision upper approximation operator. In the new model, fundamental structure and properties are obtained by transformation formulas between variable precision approximations and graded approximations, furthermore regular algorithm and structural algorithm are proposed and analyzed. Finally a practical example is given to illustrate the model and the algorithms. The new model has extended variable precision rough set model, graded rough set model and classical rough set model, and so these models have obtained similar properties of approximation operators.