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基于粒度计算的鲁棒性组织设计方法
引用本文:修保新,张维明,刘忠,阳东升. 基于粒度计算的鲁棒性组织设计方法[J]. 系统仿真学报, 2007, 19(18): 4221-4225
作者姓名:修保新  张维明  刘忠  阳东升
作者单位:1. 国防科技大学,信息系统与管理学院,湖南,长沙,410073
2. 海军兵种指挥学院,广东,广州,510431
摘    要:
介绍了面向使命的组织和组织设计,讨论了组织的鲁棒性设计问题。分析了组织设计中需要考虑的使命参数不确定性,定义了使命邻域的概念来设计不确定使命环境。通过扩展基于粒度计算的组织设计方法,提出了鲁棒性组织设计方法,设计过程包括两个阶段:平台集粒化阶段和决策分层阶段。讨论了两个阶段的设计方法,并给出了基于遗传算法的平台集粒化方法。案例分析和对比试验表明文中的方法具有较好的性能。

关 键 词:组织设计  粒度计算  鲁棒性设计  遗传算法
文章编号:1004-731X(2007)18-4221-05
收稿时间:2006-07-19
修稿时间:2006-10-09

Robust Organizational Design Based on Granular Computing
XIU Bao-xin,ZHANG Wei-ming,LIU Zhong,YANG Dong-sheng. Robust Organizational Design Based on Granular Computing[J]. Journal of System Simulation, 2007, 19(18): 4221-4225
Authors:XIU Bao-xin  ZHANG Wei-ming  LIU Zhong  YANG Dong-sheng
Abstract:
Mission-based organization and organizational design were introduced,and the problem of robust organizational design was discussed. The uncertainties of mission parameters were analyzed,and the concept of mission neighborhood was defined to design the uncertain mission environment. By extending the organizational design methodology based on granular computing,a robust organizational design method was proposed,which included two phases: granulating platforms and designing decision hierarchy. Furthermore,the design of the two phases was discussed,and the approach to granulating platforms was proposed based on genetic algorithm. A numerical example shows the better performance of the proposed design method.
Keywords:organizational design  granular computing  robust design  genetic algorithm
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