摘要
针对知识服务中技术知识供给与需求的双边匹配问题,给出了一种两阶段决策分析方法。首先,依据技术知识供给主体和技术知识需求主体的满意度建立了匹配矩阵,并利用匹配矩阵筛选双边组合,产生候选匹配对;在此基础上,考虑以技术知识供需主体的满意度最大为目标,构建了多目标优化模型,并使用基于函数隶属度的加权和方法将多目标模型转换为单目标模型进行求解,获得了相应的匹配结果。实例分析表明,本文给出的方法具有可行性和有效性。
A two-phase decision analysis approach is proposed to solve the two-sided matching problem between technological knowledge supply and demand in knowledge management.Firstly,a matching matrix is constructed to select the waiting matching pairs based on the satisfaction degree of the two-sided bodies.Then,a multi-objective optimal model is constructed to maximize the satisfaction degree of technological knowledge suppliers and technological knowledge demanders.A method based on the function membership considering the sum of weight is used to transform the model,and the best optimization solution can be obtained.Finally,an illustrating analysis is given to show the feasibility and validity of the proposed approach.
出处
《工业工程与管理》
北大核心
2010年第6期90-94,共5页
Industrial Engineering and Management
基金
国家创新研究群体科学基金资助项目(70721001)
辽宁省人文社会科学研究基地科研基金资助项目(2009JD31)
辽宁省"百千万人才工程"资助项目(2008921081)
教育部人文社会科学研究青年基金项目(10YJC630022)
中央高校基本科研业务费专项资金资助(K50510060001)
国家自然科学基金资助项目(70802047)
关键词
技术知识
供需双边匹配
满意度
匹配矩阵
决策方法
technological knowledge
two-sided matching of supply and demand
satisfaction degree
matching matrix
decision method
