项目合作条件下基于资源的联盟成员效用模型及其求解被引量：2

Utility Function of Alliance Number and Its Solution under Project Cooperation Based on Resources

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摘要在项目合作的前提下首先假设联盟成员以设备、劳动力、资金三种资源为出资方式来共同进行某一个项目,而项目的最大产出值是可以预测的。在构建了单个联盟成员进行项目合作时企业的收益、资源约束、资源投入风险三个效用函数的基础上得到了单个成员基于资源的项目合作综合效用函数。接着据此建立了多个联盟成员以三种资源的投入与产出为因变量的效用函数模型,最后应用一种新的神经网络方法对于后者的变量值进行了仿真求解。 In this paper,from the angel of project,it is first assumed that alliancing members＇ work together to process a project with equipment,labor force and capital. The greatest output of project could be forecasted. Afterwards,on the basis of constructing utility function of profit, resources constraint, resources input risk, asynthetical utility function is obtained. With above work,another utility function model is established under the condition of many cooperate members. Finally, using one kind of new neural network, we have carried on the imitation resolution as the variable value of the latter model.

作者王良杨乃定

机构地区西北工业大学管理学院

出处《中国管理科学》 CSSCI 2005年第5期100-104,共5页 Chinese Journal of Management Science

基金国家社会科学基金项目(03CJY004) 航空科学基金项目(03J53074)

关键词战略联盟项目合作效用函数神经网络 strategic alliance project cooperate utility function neural network

分类号 F270 [经济管理—企业管理]

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