化工行业竞价采购中多因素自适应智能推荐模型的研究  

Research on Multi Factor Adaptive Intelligent Recommendation Model in Bidding for Chemical Industry

作　　者：杨琳 江永忠 张金伟[1] YANG Lin;JIANG Yong-zhong;ZHANG Jin-wei(Qu Zhou College of Technology,Quzhou,Zhejiang 324000;Zhe Jiang Juhua Information Technology Co.,Ltd.,Quzhou,Zhejiang 324000)

机构地区：[1]衢州职业技术学院,浙江衢州324000 [2]浙江巨化信息技术有限公司,浙江衢州324000

出　　处：《新型工业化》2019年第3期77-80,共4页The Journal of New Industrialization

基　　金：浙江省高等学校访问工程师校企合作项目—基于多Agent的化工行业大宗商品采购智能推荐系统研究与应用(FG2017139);衢州市科技计划项目(2015Y021);衢州市科技计划指导项目(2018007)

摘　　要：针对化工行业大宗商品的竞价采购过程中,影响综合条件最优的因素多样,权重多变,实时性强的特点,如何尽量的减少人为因素的影响,完成竞价过程中的智能化比较和推荐,提出了一种基于多Agent的智能推荐模型。重点论述了多Agent协作的结构设计。提出了通过分析各因素构建案例库,采用案例相似度的计算方法完成采购需求和供应商报价的匹配和推荐的算法。In the process of bidding for commodities in chemical industry,there are many factors affecting the optimal comprehensive conditions,such as changeable weights and strong real-time performance,how to minimize the impact of human factors,and how to complete the intelligent comparison and recommendation in the bidding process,an intelligent recommendation model based on multi-agent is proposed.The structural design of multi Agent collaboration is emphasized.A case base is constructed by analyzing various factors,and the matching and recommendation algorithm of purchasing demand and supplier quotation is completed by using the method of case similarity.

关 键 词：多AGENT 智能推荐 案例 匹配 相似度计算 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]