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Study on Partner Selection for a Virtual Enterprise Based on Vague Sets

机译:基于模糊集的虚拟企业合作伙伴选择研究

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摘要

During the partner selection process in a virtual enterprise, the information about the candidates and their performances are incomplete and uncertain. In this paper, vague sets theory is introduced to give comprehensive consideration to truth member ship, false membership and uncertainty membership degree of the candidates to satisfy the decision-maker. On the basis of the agreement index of satisfaction degree, the formulated partner selection problems are interpreted so as to maximize the average agreement index. To solve the problem, genetic algorithm is proposed. Finally, the simulation of a case demonstrates that the method is effective.
机译:在虚拟企业的合作伙伴选择过程中,有关候选人及其表演的信息是不完整和不确定的。在本文中,引入了模糊的组理论,以全面考虑到真理成员船,虚假会员和候选人的不确定性会员程度,以满足决策者。在满意度的协议指数的基础上,解释了配制的合作伙伴选择问题,以最大化平均协议指数。为了解决问题,提出了遗传算法。最后,案例的模拟表明该方法是有效的。

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