Abstract:

To solve the unstable conclusion and low difference of current similarity measurement approaches of the cloud model, an indirect computation approach of cloud model similarity is proposed based on conception skipping. As a breakthrough point, intersecting areas shaped by expectation curves represent the similarity and are transferred to a higher level of conception, aiming to realize an equivalent change of respective conception importance in terms of original intersecting areas. Numbers and locations of intersections of expectation curves are discussed and corresponding judging rules are provided. Conception skipping is achieved by computing interrupting entropy to obtain the synthetic cloud. Intersecting areas of expectation curves from the synthetic cloud and fundamental clouds serve as a new criterion, and the indirect computing formula of similarity is given. Experimental results of designed simulate examples and an application confirm the effectiveness and wide feasibility.