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中文摘要：
分析了现有的正向／逆向云生成器实现算法的不足之处；并在此基础上提出了基于拟合思想的正向／逆向云生成算法。通过将概念空间划分为几个子空间，然后再在各子空间上使用正向／逆向正态隶属云生成算法来拟合整个概念空间上问题的描述。在拟合过程中，子空间的划分数目是影响拟合效果的主要因素。通过一系列实验分析就子空间的划分数目给出了一个建议数目。最后，实例分析和比较结果表明了该算法的可行性和效率。
英文摘要：
A new algorithm of forward and backward cloud based on fitting is proposed. Firstly, whole concept space is divided into several sub-spaces, and backward or foreword cloud generator algorithms on each sub-space is used to fit the representation of concept. During the procedure of fitting, the number of sub-space is the major factor to fitting results, After a series of experiments, an advisable number of sub-spaces are given. After a comparison is made between these two kinds of algorithms, the conclusion that cloud model based on fitting is better for describing uncertainty than the older one could be drawn.
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