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題名 | 模糊眾數及其在教育與心理評量分析之應用=Application of Fuzzy Mode to Educational and Psychological Assessment Analysis |
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作者 | 林原宏; 鄭舜仁; 吳柏林; | 書刊名 | 中國統計學報 |
卷期 | 41:1 2003.03[民92.03] |
頁次 | 頁39-66 |
分類號 | 521.3 |
關鍵詞 | 二元邏輯; 心理測驗; 模糊眾數; 隸屬度函數; Binary logic; Educational and psychological assessment; Fuzzy mode membership function; |
語文 | 中文(Chinese) |
中文摘要 | 就教育統計實務而言,諸多的決策、評量或評鑑的目的,是透過調查或問卷等方式,尋求大眾的共識。研究上常見調查或問卷之方式,是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,而且利用傳統統計眾數的計算方法,表達大眾對此問題的共識,卻忽略了人類本身在思考邏輯與對事物的認知土,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為進步的測度方法。本文首先提出模糊眾數的定義及其一些相關性質與證明。並經由這些性質的討論和資料分析與解釋,將其應用於人頭思維測度上。期能將大眾的想法更精確合理地表達出來。最後在結論和分析中,提出未來實務和進一步研究之建議。 |
英文摘要 | In the educational and psychological research, we often make decisions according to consensus. For example, criteria of learning assessment and teaching evaluation are very important for teachers. Traditionally, we ask the task-taker to respond according to the thinking of binary logic. But, this kind of response is improper because the human thinking is fuzzy and uncertain. It should be an improved measurement using membership and fuzzy statistics. In this paper, we propose the fuzzy mode and present some of its properties. In addition, we give some examples, which are used frequent1y ìn educational and psychological assessment, to demonstrate that fuzzy statistics is suitable and meaningful for social science research. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。