基于符号距离法的模糊语言学调查评价

Lily Lin, Huey-Ming Lee
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引用次数: 1

摘要

用符号距离法和质心法对调查结果进行了模糊语言学评价。对于这两种方法,所提出的方法不同于传统的通过语言变量对问卷进行评分的调查算法,具有模糊性,我们采用模糊的抽样感,根据受访者自己的概念来表达他们的感受程度,结果会更接近于受访者的真实想法。在本研究中,我们对先前的方法进行了重新建模,并使用有效可靠的签名距离方法进行了汇总评估分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An evaluation of survey by fuzzy linguistics based on the signed distance method
An evaluation of survey by fuzzy linguistics has been conducted using both the signed distance and centroid method. As to both methods, the proposed approaches, different from conventional survey algorithms via questionnaire rating item by linguistic variables, possessing the vague nature, we employed fuzzy sense of sampling to express the degree of interviewee's feelings based on his own concept, the result will be closer to interviewee's real thought. In this study, we re-model the previous method and use the signed distance method which would be effective and reliable to do aggregated assessment analysis.
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