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Group Multi-attribute Decision Model To Partner Selection In The Formation Of Virtual Enterprise Under Incomplete Information

机译:信息不完全的虚拟企业组建中基于合作伙伴选择的群体多属性决策模型

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摘要

Partner selection is very important in the formation of a virtual enterprise. However, in many practical situations, during the partner selection process, the decision makers are generally unsure of their preferences because the information about the candidates and their performances are incomplete and uncertain. Therefore, two MADM (multi-attribute decision model) methods for group decision making with interval values are proposed to solve partner selection problem under incomplete information in this paper. The first method is a technique for order preference by similarity to ideal solution (TOPSIS) for group decision making based on deviation degree. The second method is a TOPSIS for group decision making based on risk factor. Finally, an illustrative example is used to demonstrate the feasibility and practicability of these two extended TOPSIS methods for group decision making with interval values. Results show that these two extended TOPSIS methods for group decision making with interval values can effectively deal with the partner selection problem under incomplete information.
机译:合作伙伴的选择对于虚拟企业的建立非常重要。但是,在许多实际情况下,在伙伴选择过程中,决策者通常不确定自己的偏好,因为有关候选人及其绩效的信息不完整且不确定。因此,本文提出了两种具有区间值的群体决策的MADM(多属性决策模型)方法,以解决信息不完全情况下的伙伴选择问题。第一种方法是一种通过与理想解决方案(TOPSIS)相似性来进行订单偏好的技术,用于基于偏差度的群体决策。第二种方法是基于风险因素进行群体决策的TOPSIS。最后,通过一个示例性的例子来说明这两种扩展的TOPSIS方法在具有区间值的群体决策中的可行性和实用性。结果表明,这两种扩展的TOPSIS方法用于区间值的群体决策可以有效地解决信息不完全的伙伴选择问题。

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