臺灣博碩士論文加值系統

物件導向模型製作在許多相關領域中，被廣泛地用來模型化真實世界中的各種概念。然而大部分真實世界的概念本質上就是模糊不清的，傳統物件導向模型並不能表達這些模糊的訊息，因此，近來物件導向模型的一個發展重點就在於如何整合模糊邏輯與物件導向模型。
在本論文中，首先提出一套模糊物件導向模型製作的技術，從幾個方面對物件導向模型加以延伸來分析並捕捉非正規的需求：(1)將類別延伸到模糊類別，表示一群具有相似特質的物件所成的模糊集合。(2)屬性的範圍和值允許是模糊的。(3)利用模糊規則描述屬性之間的關係。(4)根據靜態特質和動態特質來衡量模糊類別的成員程度以及類別之間的相容程度。(5)將類別之間的模糊關聯加以模型化。
除此以外，為了同時讓所發展的模糊物件導向設計能夠同時應用在物件導向程式設計與與資料庫的設計上，本研究亦發展出一套直接由模糊物件導向模組轉換到資料庫的方法，以節省系統發展之時間。

Object-oriented modeling has been widely utilized to model real-world concepts in various areas. However, real-world concepts are almost fuzzy in nature, and can't be model by traditional object oriented modeling approaches. Therefore, one of the foci of the recent development in object-oriented modeling has made progress toward the integration of object concepts with fuzzy logic.
In this research, a new fuzzy object-oriented modeling approach, called FOOM, is proposed based fuzzy logic to analyze and capture informal requirements along several dimensions :
‧extending a class by grouping objects with similar properties into a fuzzy class;
‧allowing range and value of attributes to be fuzzy;
‧encapsulating fuzzy rules in a fuzzy class to describe the relationship between attributes;
‧evaluating the membership function of a fuzzy class and compatibility between fuzzy classes by consider both static and dynamic properties, and
‧modeling fuzzy association between classes.
Beside that, we also develop a transformation from fuzzy object-oriented model to relational database design. One of the benefits is to reuse an object model because that an object model can address both issues of object-oriented programming and database design.

第一章 緒論…………………………………………………………1
第二章 物件導向理論簡介…………………………………………4
2.1物件導向的特性…………………………………………4
2.2物件與類別………………………………………………5
2.3屬性………………………………………………………6
2.4運算與多形………………………………………………6
2.5關聯………………………………………………………6
2.6AKO與ISA…………………………………………………7
第三章 模糊物件導向模型製作……………………………………8
3.1模糊類別…………………………………………………8
3.2模糊屬性…………………………………………………9
3.3模糊規則…………………………………………………10
3.4模糊分類…………………………………………………11
3.5模糊關聯…………………………………………………15
3.6多形………………………………………………………16
第四章 OOM模型與關聯式資料庫的對應…………………………17
4.1類別內部…………………………………………………17
4.2關聯………………………………………………………19
4.3繼承關係…………………………………………………21
第五章 FOOM模型與與關聯式資料庫的對應………………………24
5.1類別內部…………………………………………………24
5.2模糊關聯…………………………………………………27
5.3繼承關係…………………………………………………29
第六章 相關研究……………………………………………………31
6.1整合OOM與模糊邏輯……………………………………31
6.2模糊資料庫………………………………………………33
第七章 結語與未來研究方向………………………………………35
7.1結語………………………………………………………35
7.2未來研究方向……………………………………………36
參考文獻……………………………………………………………37

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