A simplified similarity calculation method based on cloud model overlap
Chunyan Ni, Youyu Wu · 2016
The existing cloud model similarity calculation methods have the problems of low discrimination and high computational-complexity. Thus, a simplified method is proposed to calculate similarity by approximating the overlapping part of the cloud as triangle. In the premise of that the method can be effectively applied to one-dimensional cloud model, one-dimensional degree is averaged and multiplied by the proportion of features of similarity which is greater than the certain threshold value. Thus, the similarity calculation method is extended to N dimension. Compared with the existing similarity calculation methods of N-dimensional cloud model, the proposed similarity calculation method is superior to the existing algorithm in a certain extent.