Probabilistic Decision Method Based on the Hybrid Model of Grey Clustering and Variable Precision Rough Fuzzy Set

In many uncertain practical decisions based on rough set models or extensions of rough set model,it is impossible to generate decision tables from data set,meanwhile decision attributes possess fuzziness,so that probabilistic decision rules can't be obtained.A hybrid approach to grey clustering and variable precision rough fuzzy set is proposed in the paper.The basic idea of the hybrid method is as follows.To begin with,a multiple attribute decision table is established by grey fixed weight clustering based on the center triangle whitening weight function,and then probabilistic decision rules from multicriteria decision table are derived by applying variable precision rough fuzzy set.Finally,the proposed method is applied to the selection of regional key technology,and the results show that the method can be feasibility and practicality.