在統計學上，我們常使用皮爾森相關係數來表達兩變數間線性關係的強度，同時也表達出關係之方向。皮爾森相關係數所處理的資料是兩筆明確的實數值，但是當資料是模糊數時，如何計算廣義模糊相關係數?本研究探討問卷模糊樣本資料值求得隸屬度相關係數，並提出廣義模糊相關係數。我們以影響手機品牌與消費者個性的因素，作實證研究分析，得出更合理的分析。而此隸屬度相關定義能應用在多筆資料值為實數的情況，可以解釋更多在實務上所發生的相關現象。

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