臺灣博碩士論文加值系統

在本篇論文中，我們針對LR型模糊數提出新的相似性測度方法，並探討新方法具有的性質。此外，在一些例子中我們把提出的方法和其它相似性測度的方法做比較，結果顯示我們提出的方法比較合理。最後，我們將提出的方法應用在資料庫查詢上，藉著相似性測度來產生複合屬性用以彌補資料庫中的缺值，解決虛查詢的問題。這種方法可以被廣泛地使用在資料庫的模糊查詢上。

This paper presents a new similarity measure for LR-type fuzzy numbers. The proposed similarity measure is based on a defined metric between LR-type fuzzy numbers. We then analyze its properties and make numerical comparisons to several similarities. The results show that the proposed similarity measure has better defection for the difference of the degree of similarities between LR-type fuzzy numbers. Finally, we apply it to generate compound attributes for handling null queries to database systems. These applications can be widely need in fuzzy queries to database.

第1章緒論………………………………………………1
第2章新的相似性測度及其性質………………………3
第3章數值比較…………………………………………8
第4章資料庫查詢的應用………………………………12
第5章結論………………………………………………22
參考文獻……………………………………………………23

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