China Mechanical Engineering ›› 2014, Vol. 25 ›› Issue (20): 2745-2750.

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Partner Selection in a Virtual Enterprise Based on Vague Sets under Fuzzy Environments

Huang Bin1;Yu Guojie2;Peng Yuhui1;Chen Liang1   

  1. 1.Fuzhou University,Fuzhou,350108
    2.ABB Xiamen Low Voltage Equipment Company Limited,Xiamen,Fujian,361006
  • Online:2014-10-25 Published:2014-10-24
  • Supported by:
    National Natural Science Foundation of China(No. 50875049);Fujian Provincial Natural Science Foundation of China(No. 2013J01185);Fujian Provincial Key Science and Technology program ( No. 2012H1004)

模糊环境下基于Vague集的虚拟企业伙伴选择研究

黄彬1;余国杰2;彭育辉1;陈亮1   

  1. 1.福州大学,福州,350108
    2.厦门ABB低压电器设备有限公司,厦门,361006
  • 基金资助:
    国家自然科学基金资助项目(50875049);福建省自然科学基金资助项目(2013J01185);福建省重点科技项目(2012H1004);福州大学人才基金资助项目(XRC-1157) 

Abstract:

To solve the partner selection problem with fuzzy completion time and due date in a virtual enterprise, a new method based on Vague sets was proposed. Based on the concept of delivery time satisfiability degree, the formulated partner selection problem was interpreted so as to maximize the delivery time satisfiability degree index. The model took into account the factors of delivery time satisfiability degree, cost and the precedence of tasks. Standard particle swarm optimization(PSO) algorithm was easily trapped in local optimum, so chaotic searching behavior was incorporated into standard PSO algorithm and a CPSO algorithm was proposed to solve the problem. The simulation of an example demonstrates that the local searching capability of the CPSO algorithm is much better than that of standard PSO  algorithm.

Key words: partner selection, Vague set, chaotic particle swarm optimization(CPSO), fuzzy environment, virtual enterprise

摘要:

为解决模糊完工时间和交货期下的虚拟企业伙伴选择问题,提出一种基于Vague集的伙伴选择方法。在给出基于Vague集的交货时间满足度概念的基础上,建立了以极大化交货时间满足度指数为优化目标的虚拟企业伙伴选择模型,该模型考虑了交货时间满足度、成本和任务间的时序关系等因素。为解决标准粒子群优化算法容易陷入局部极值的问题,引入混沌搜索方法,设计了一种混沌粒子群优化算法进行模型求解。实例分析表明,混沌粒子群优化算法比标准粒子群优化算法具有更强的局部搜索能力。

关键词: 伙伴选择, Vague集, 混沌粒子群优化, 模糊环境, 虚拟企业

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