Fuzzy mode and its applications in survey research
Fuzzy mode and its applications in survey research
复制标题
模糊模式及其在调查研究中的应用
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Berlin Wu
中科院分区：
文献类型：
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作者：
Yuan;Berlin Wu
评价的公众共识是定量研究中的一个重要问题。大多数研究工具，如调查或问卷，都是要求人们以二元逻辑回答他们的思维，并在某些项目上提供单一答案。他们通常采用传统方法中的统计计算来表达公众的共识。然而，这一过程忽略了人类在逻辑和认知中所感知到的模糊思维。模糊理论提供了超越二元逻辑局限的多重逻辑。因此，采用隶属函数和模糊统计分析将更为合适。
The public consensus of evaluations is an important issue in the quantitative research. Most of research tools, like the survey or questionnaire, are to ask people to answer their thinking in binary logic and provide a single answer on some items. They usually adopt statistical computations in traditional approaches to express public consensus. However, this process ignores the fuzzy thinking perceived in human logic and recognition. Fuzzy theory provides the logic of multi-logic which is beyond the limitations of binary logic. Thus, it will be more proper to employ the membership function and fuzzy statistical analysis.
In this paper we will provide the definition of fuzzy mode, its proofs and properties. In addition to discussing these characteristics of fuzzy mode, we also apply the fuzzy mode in measuring public consensus with empirical data of educational survey. In the conclusion, suggestions and recommendations for future research and advanced issues are presented.