本研究之目的在於了解學生對數位學習課程之選課因素與市場。研究方法採用模糊聚類法對台南縣各大學在職生進行市場區隔之分析,之後導入關聯規則之演算法。研究結果得知此一市場可區分為三個硬性市場2與三個模糊市場3,並利用上述結果導入本研究所改良之Supervised Apriori演算模式,使其能應用於監督式資料並配合模糊聚類法,而成為監督式模糊Apriori (Supervised Fuzzy Apriori; SFA)演算法建立九個關聯規則與四個模糊關聯規則。
The objective of this research is to understand the markets of E-Learning. This paper uses the Fuzzy Clustering method to analyze the E-Learning market of Tainan's universities and uses the Supervised Apriori plus Fuzzy Clustering algorithm(Supervised Fuzzy Apriori, SFA) to create 9 valid association rules and 4 fuzzy association rules for marketing. The E-Learning market of the universities can be divided into three definite markets and three fuzzy markets.