氣候分類主要是展現一地氣候的特性及差異，其目的可供作許多自?生態的研究及人文活動的參考。由於早年氣候分類的方法多為歐、美學者所創建的，而歐、美的地理環境與臺灣的地理條件有著區域上的差異。因此本文以臺灣二十六個測站三十年的氣候基本資料以模糊集群分析法（Fuzzy Cluster Analysis）考量六項變因，建立模糊氣候分類模式，並比較臺灣柯本（Koppen, W）氣候分類與模糊氣候分類之間的差異及其適用性。

　　　　　The main display of weather classification is to show the regional weather character and difference. Its aim is to offer the reference in nature research and human activity. Most earlier methods of weather classification is established by European scholars, and there exists the regional differences for Taiwan's conditions. As the reason mentioned above, this paper uses 26 observed stations with a 30-year time interval as its data and classifies by koppen's method. Then the efficient and differences between them are compared.