Developing model of grey clustering based on grey number

Analysis result shows that many things are grey system. According to the classical grey theory, the grey number was adopted to express the evaluation indices and clustering thresholds. Furthermore, grey number formula was presented and clustering model was built based on the trapezoid whitening weight function. The possibility idea of comparing interval number was introduced into grey number compare. Three signalized intersections were given to prove the effectiveness and reasonableness of the presented model, evaluation results conform to the actual analysis, the maximum clustering value [0.416,0.839] of the intersection A
1
belong to the III type, the maximum clustering value [0.202,0.728] and [0.413,0.645] of the intersection A
2
and A
3
belong to the IV type, and the second maximum clustering value of the intersection A2 belong to V type, the second maximum clustering value of the intersection A3 belong to the III type, not only it can carry on clustering according to the maximum value, but also act accurate sequencing in accordance with the second largest value.