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机构地区:[1]国防科技大学信息系统与管理学院,湖南长沙410073
出 处:《计算机集成制造系统》2005年第9期1340-1350,共11页Computer Integrated Manufacturing Systems
基 金:国家自然科学基金资助项目(70371008)。~~
摘 要:为了给电子商务交易参与各方日益个性化的需求提供更为自动化的支持,研究了组合贸易中的消费者联盟形成问题,提出了一种针对电子市场中消费者组合购买行为的联盟规划方法。在多Agent中介系统主导的组合市场模型的基础上,首先提出了一种组合贸易中消费者组合购买的计划表示方法,然后研究了消费者组合购买问题的自动规划过程,将联盟过程作为规划过程的一环,通过需求传播、剩余支付转移和单商品交易联盟3个相继循环执行的过程,形成整个联盟规划过程,为消费者生成包含联盟结果的组合购买计划。联盟规划方法的研究不仅涉及了组合贸易中的消费者联盟形成与自动规划的融合过程,而且提出了对消费者欲购商品间复杂需求关系的解决方法,深化了电子商务对交易自主性和个性化的支持。In order to provide automatic support for participants in E-commerce with increasingly personalized requirements, consumer coalition formation in combinatorial trading was studied and a new algorithm for automatic customer coalition formation planning in combinatorial electronic marketplaces was proposed. First, based on a combinatorial market model dominated by an intermediary multi-agent system, a plan representation for consumers' combinatorial purchase in combinatorial trading was provided. Then, automatic planning process for consumer's combinatorial purchase was studied. Consumer coalition formation was made as a part of the automatic planning process which consisted of requirement spread algorithm, spare payment transmission algorithm and coalition formation algorithm for single article. Feasible purchasing plans for consumers were derived from the algorithm. This study was to explore fusion of automatic planning process and coalition formation process. And the algorithm was developed based on consumers' complicated combinatorial requirement. The method has provided further support for personalized and automatic E-commerce.
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