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Factor Analysis with Qualitative Factors as Fuzzy Numbers

机译:定性因子为模糊数的因子分析

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摘要

The classical crisp version of Factor Analysis is seldom used in the case of qualitative factors by reason of the lack of appropriate level criteria referring to these factors. We now propose a fuzzy interpretation of the method, which gives a possibility to investigate the strength of the factor influence on a tested variable. By assuming that fuzzy numbers in L-R form represent both the variable and the factors, as the qualitative parameters, we are capable of performing all the operations that follow the Factor Analysis algorithm. Even the introduction of the conception proposing a new fuzzy space with particularly defined operations on fuzzy numbers helps to obtain satisfactory results.
机译:在定性因素的情况下,由于缺乏适用于这些因素的适当水平标准,因此很少使用因子分析的经典简洁版本。现在,我们提出一种对该方法的模糊解释,从而有可能研究因素对测试变量的影响的强度。通过假设L-R形式的模糊数既代表变量又代表因子,作为定性参数,我们能够执行遵循因子分析算法的所有运算。甚至提出提出带有模糊数特别定义的运算的新模糊空间的概念,也有助于获得令人满意的结果。

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