基于正态分布区间数的云滴获取算法  

Cloud droplets obtaining algorithm based on normal interval number

作　　者：李修海[1] 于少伟[2] 

机构地区：[1]山东英才学院商学院,山东济南250104 [2]山东英才学院计算机应用技术研究所,山东济南250104

出　　处：《山东大学学报（工学版）》2012年第5期130-134,共5页Journal of Shandong University（Engineering Science）

基　　金：山东省自然科学基金资助项目(ZR2009GQ016)

摘　　要：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。Cloud droplets are difficult to be obtained in constructing backward cloud. To slove the problem, a new algo- rithm using normal interval number was proposed by analyzing the traditional algorithms of backward cloud and in the inspiration of the idea that all fuzzy membership functions could form a curve cluster which could be regarded as an ap- proximation to a cloud. The new algorithm could obtain the cloud droplets by generating some normal numbers in expec- tation curve and substituting them in each membership function. Experimental results showed that the algorithm could get abundant cloud droplets, which could meet the distribution of normal cloud model.

关 键 词：正态云模型 逆向云 正态分布区间数 云滴 

分 类 号：C934[经济管理—管理学]