模糊關聯式資料庫之研究

Fuzzy Relational Databases

張葦怡(Wei-Yi Chang)

指導教授 ： 龐金宗

元智大學/資訊學院/資訊管理學系/碩士(2004年)

摘要

本研究探討了模糊關聯資料庫的型態、模糊功能相依、模糊多重值相依及模糊資料庫的應用等議題，並介紹模糊關聯資料庫的四種類型。在資料庫的設計中，正規化在模糊資料庫中變成一個很重要的問題，正規化可使得資料庫在異動時不會產生失真、資料重覆的現象，正規化中資料相依是非常重要的議題包括功能相依、多重值相依。
模糊功能相依、模糊多重值相依是指屬性之間的關係，是否關聯表中所有不為主鍵之屬性都全部功能相依於關聯表中的主鍵，且因模糊資料的表達方式多元，所以要比對兩筆記錄的屬性值是否相等，就透過測量模糊資料屬性值之間的語意關係，其測量結果為語意相等的程度，愈趨近於1表示此模糊資料愈相等。

關鍵字

語意包含程度 ； 相似關聯 ； 近似關聯 ； 可能性為主之關聯 ； 延伸可能性為主之關聯 ； 模糊關聯式資料庫 ； 模糊功能相依性 ； 模糊多重值相依性

並列摘要

This research discuss about the topic of such application type as fuzzy relation database, fuzzy function dependence, fuzzy multiple-value dependence, and introduction of four kinds of the fuzzy relation database. During the process of database designing, the normalization is getting become as a very important problem on fuzzy relation database. The function of normalization in database can be evaded the happening of distortion and data reoccurrence; data dependence during the normalization with regarding to function dependence, multiple-value function dependence can also thought of as an importance issue.
Fuzzy function dependence, fuzzy multiple-value dependence is refers to the relationship of attributes, whether attribute of all non-primary key depends upon the primary key in the relation table. Besides, there are many kind of fuzzy data expression methods, therefore, whether to compare the value of two tuple attributes with each other is equal or not, should have tested through the measurement of such semantic relation among the attributes of fuzzy data. Suppose to compare results of such measuring with each other is equal to the degree of semantic, the more approaching to the value of 1; the more equality of such fuzzy data.

並列關鍵字

HASH(0xa6ce49c)

參考文獻

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