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標題: | 電子商務多邊協商模型 A Many-to-Many Negotiation Model for E-Commerce |
作者: | Kuang-Ping Liu 劉廣平 |
指導教授: | 傅立成 |
關鍵字: | 多對多協商,基因演算法,自動化協商,合作式賽局,多議題協商,電子商務, Many-to-Many Negotiation,Genetic Algorithm,Automated Negotiation,Cooperative Game,Multi-issue Negotiation,E-Commerce, |
出版年 : | 2008 |
學位: | 碩士 |
摘要: | 資訊科技的發達使得電子商務發展日益蓬勃,同時B2B電子商務的應用也因計算科技的進步而趨於多元。隨著電子商務快速成長的腳步,在電子平台上自動化協商的角色顯得越來越重要。因此在本篇論文裡,我們提出一個電子商務多邊協商模型,其中的自動化協商機制(ANM)可以處理現實生活中最複雜的多人多議題協商,並以達到總體效益最大化、供需平衡及買賣雙方之雙贏等目標。自動化協商機制的關鍵核心技術是基因演算法與整數規劃模型,其在供需平衡的條件下預測買賣雙方最佳的協商條件。除了實作電子商務網站界面之外,並且在模擬實驗中以三個賣家與四個買家之協商為例,以實驗之結果分析驗證本論文所提之理論模型。 In the near future, semantic web technologies such as XML, RDF, OWL will enable more B2B e-commerce applications. In light of the intractability of negotiation by multiple parties, we propose a novel approach for the many-to-many negotiation problem in which n sellers negotiate with m buyers for one kind of merchandise that has multiple issues. An automated negotiation mechanism (ANM) is introduced to facilitate many-to-many negotiation with the goal of optimizing interests of both parties. Genetic algorithm (GA) and integer programming are employed as the core technique. Other than implementation of the e-commerce website, experimental results analysis of simulation in negotiations of three sellers and four buyers verified the proposed theoretical model and the GA approach in this thesis. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/27149 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊工程學系 |
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