计算机工程与应用2017，Vol.53Issue(13)：21-28,8.DOI:10.3778/j.issn.1002-8331.1702-0070
客户群及个体服务选择影响因子研究
Research on influence factors of customer group and individual service selection
摘要
Abstract
In the process service selection, customers will be the impact of their own continuous accumulation of experi-ence, as well as the other member'sviews. Through analyzing the relationship of individual customer and their mutual cooperation relationship, this paper obtains three main factors of customer groups and individual service selection:inertial impact factors, individual factors and group factors. Using the particle swarm optimization algorithm, it simulates the complex nonlinear relationship between the influence factor on the selection of customer service and selection results. Through quantitative simulation data, it precisely identifies the influence degree of each influence factor, the selection results'sensitivity on the factors, as well as optimal mix proportion between each influence factor. The research provides a direction for the optimization of the two-way selection between customers and suppliers.关键词
群体智能/粒子群优化算法/客户群/客户个体/影响因子Key words
swarm intelligence/Particle Swarm Optimization(PSO)/customer group/individual customer/influencing factors分类
管理科学引用本文复制引用
李冰,王虎,王锐..客户群及个体服务选择影响因子研究[J].计算机工程与应用,2017,53(13):21-28,8.基金项目
国家自然科学基金(No.71661013,No.71071122) （No.71661013,No.71071122）
江西省教育厅科学技术研究项目(No.150320) （No.150320）
江西省高校人文社科青年项目(No.GL1542) （No.GL1542）
江西师范大学青年成长基金项目 （）
江西师范大学博士启动基金. （）
