A Many-to-Many Negotiation Model for E-Commerce
Date Issued
2008
Date
2008
Author(s)
Liu, Kuang-Ping
Abstract
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.
Subjects
Many-to-Many Negotiation
Genetic Algorithm
Automated Negotiation
Cooperative Game
Multi-issue Negotiation
E-Commerce
Type
thesis
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