模糊語意分析及其在田野調查研究之應用

Fuzzy Semantic Analysis and Its Applications on the Sampling Survey and Field Study

10.6704/JMSSD.2007.4.4.70

孫慶珉(Ching-Min Sun)

二元邏輯 ； 隸屬度函數 ； 模糊眾數 ； fuzzy logic ； field study ； fuzzy mode ； membership functions

管理科學與統計決策

4卷4期（2007 / 12 / 01）

70 - 89

繁體中文

在民主社會中，瞭解大眾對於公共議題的主流意識是非常重要。過去利用簡單眾數的計算方法，強迫人們採用二元邏輯的思考方式，對所討論的議題給予單一的選擇，完全忽略了人類本身在思考邏輯與對事物的認知上，所具有的模糊特性。故在考慮此類屬性的問題時，利用隸屬度函數與模糊統計分析會是一種較爲進步的測度方法。本文在此提出模糊眾數的分析理論，並將其應用於人類思維測度上，期望能將大眾的想法更精確合理地表達出來。

For social science research, many decisions, evaluations, or purpose of evaluation are done by the survey or questionnaire to seek for people's consensus. The commonly used methods are the surveys or questionnaires: asking people to think in binary logic way from a multiple choice design. However these processes often ignore the fuzzy thinking perceived in human logic and recognition. Thus, employing the membership function and statistical fuzzy analysis will be a more heuristic way. In this paper we will employ the membership function and statistical fuzzy analysis and will provide the definitions of fuzzy mode, fuzzy median as well as investigation of their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Result shows that fuzzy statistics with soft computing are more realistic and reasonable for the social science research. Finally certain comments are suggested for the further studies.

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