中文摘要：

针对需求信息不完备的情况, 以及产品配置中客户满意度和企业产品成本冲突问题, 提出一种基于客户需求的多目标推理求解方法. 该方法引入Bayes-Nash 均衡理论建立产品多域节点之间的均衡模型; 以企业和客户作为决策主体, 企业产品成本和客户满意度作为博弈的收益函数, 在结构、性能和成本域相似度最大值搜索的基础上确定博弈双方的策略集; 采用模拟退火算法求解Nash 均衡解, 得出符合博弈双方利益的产品配置方案. 最后以某车间自动导引运输车配置推理为例, 证明了文中方法的有效性.

英文摘要：

For balancing customer satisfaction and enterprise product cost in product configuration under the circumstance of incomplete requirement information, a multi-objective reasoning method based on customer requirements was proposed. The equilibrium model among product multi-domain nodes was established based on Bayes-Nash equilibrium. Enterprise product cost and customer satisfaction were used as game payoff function, and strategy set of the game was determined by seeking the maximum similarity of structure, performance and cost domain. Nash equilibrium solution was solved by simulated annealing algorithm (SA), and the product configuration scheme meeting the interest of the games was obtained. As a result, configura-tion reasoning of a workshop automated guided vehicle (AGV) was taken as the example to prove the effec-tiveness of the method proposed in this paper.