臺灣博碩士論文加值系統

隨著Internet的發展，許多企業也試圖將其傳統交易模式，如封閉式的平台，轉變成開放式B2B、B2C等模式，而加入電子市集的環境之中（Electronic Marketplace）已可說是必經之途了。
E-market透過本身的群聚效應，集結了許多對該同類型商品的買賣方，如此大大的提高市場效率，進而加速促成供應錬的形成。但是買賣雙方如何從眾多供需者中即時地找出符合自己的廠商，並減少比價議價所耗費的人力成本、代理成本與電子市集的建構時程與開發成本等等，依然是個癥結點。
因此我們提出以電子市集中立的第三仲介者為運作基礎，運用智慧型代理人與糢糊之技術來建構本系統的議價協商機制，應用層級程序分析法（Analytical Hierarchy Process, AHP）做為評估各個商品間替代方案的屬性權重，且在Mobile Agent為基礎下，可減少Agent在網路上相互溝通的傳訊量，充分發揮系統彈性與延展性，重要是不局限於商品買賣種類，以提升E-market開發效率，並藉此達到買賣雙方交易前置過程（商品篩選、尋價、比價、議價協商）的自動化。

With the rapid development of the Internet, many corporations are trying to do their business transactions through B2B and E-marketplace. Although these new technologies can reduce agency cost, there are some problems to be resolved. Some of them are how to explore uncertain information and reduce the cost of system development. This paper proposed an architecture adopting the mobile agent and fuzzy membership function technologies to building a E-marketplace, which is automatic negotiation machinery, reducing human cost more flexible.

第壹章、緒論1-1
1.1研究背景與動機1-1
1.2研究目的1-1
1.3論文結構1-2
第貳章、文獻探討1-1
2.1、電子市集（Electronic Marketplace）2-1
2.1.1、三種交易市集的模式2-1
2.2電子市集之程流2-2
2.3電子市集開發之網路架構2-3
2.3.1以主從式(Client-Server)與多層次(Multi-tier)架構2-4
2.3.2 「Code-on-Demand」2-5
2.3.3以行動代理人(Mobile Agent)架構之電子市集2-5
2.4 利用Java程式語言來開發本系統之優點2-7
2.5動態定價(Dynamic Pricing)2-9
2.6代理人程式(Agent)2-10
2.7代理人的協商行為2-10
2.8層級程序分析法(Analytic Hierarchy Process , AHP)2-12
第參章、系統設計3-1
3.1系統網路架構3-1
3.1.1系統功能之設計3-2
3.1.2 系統資料庫配置與系統運作之管理流程設計3-3
3.2 Fuzzy Membership Function在本系統的運用3-4
3.3在本系統的協商議價屬性之階層分析運用3-9
3.4議價協商機制與決策屬性權重的產生3-10
第肆章、系統實作與實驗結果4-1
4.1系統運作核心技術介紹4-1
4.1.1系統對資料庫的連結方式4-3
4.1.2代理人系統運作方式4-4
4.2系統介面介紹4-4
4.2.1系統登入4-5
4.2.2產品篩選(Input Constraint)4-5
4.2.3選擇要進一步協商之商品、授權代理人添購之附屬配備與其他交易條件(Selecting Suitable Goods)4-6
4.2.4代理人決策屬性設定4-7
4.2.5 決策屬性－性能之下層子評準屬性之偏好評估4-9
4.2.6議價協商後之決策評估結果4-10
4.2.7賣方伺服器(Seller Server)啟動畫面4-11
4.2.8仲介服務中心(Intermediary Server)4-11
4.3實驗結果4-12
4.3.1偏好低價位、高性能、配備佳之採購決策評估4-12
4.3.2偏好中間價位、平均性能、配備中等之採購決策評估4-13
第伍章、結論與未來研究方向5-1
5.1結論5-1
5.2未來研究方向5-2
附錄一S-1
參考文獻R-1

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