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为解决逆向云构建中云滴难以获取的问题,在深入分析传统的逆向云发生器算法的基础上,在“所有模糊隶属函数曲线可构成一个模糊隶属函数曲线簇,模糊隶属函数曲线簇可看作近似云”的思想启发下,提出基于正态分布区间数的云滴获取算法。该算法通过在期望曲线上生成正态随机数并依次代入各隶属函数的方法来获取云滴。实验分析表明:该算法可以以较少的调查数据获取大量的云滴且获取的云滴符合正态云的分布规律。
In order to solve the difficult problem of cloud drop in reverse cloud construction, based on the deep analysis of the traditional reverse cloud generator algorithm, all the fuzzy membership function curves can form a fuzzy membership function curve cluster. The fuzzy membership function curve cluster can be Inspired by the thought of “approximate cloud”, a cloud droplet acquisition algorithm based on normal interval number is proposed. The algorithm obtains cloud drops by generating normal random numbers on the expected curves and substituting them into the membership functions in turn. Experimental results show that this algorithm can obtain a large number of cloud droplets with fewer survey data and the cloud droplets obtained accord with the normal cloud distribution rule.