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A Partner Selection Method for Forming Innovation Alliance

机译：建立创新联盟的合作伙伴选择方法

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摘要

Establishing innovation alliance has now become a very important and indispensable way for achieving the mission of research and development (RandD) of national mega projects in China. As an important component for constructing the collaborative partnership system, an appropriate approach of partner selection should be able to evaluate the performance of candidates objectively. Innovation alliance has members with different backgrounds, but the most suitable partner should be involved in the alliance by launcher before establishing alliance. For this reason, the aim of this paper is to take the different characteristics of organization as the influence factors into the account of weight setting, and propose a fuzzy analytic hierarchy approach (fuzzy AHP) to effectively evaluate candidates. According to the extension principle of fuzzy set theory, linguistic variables defined as fuzzy numbers are applied to pair-wise comparisons to avoid the vague situation, and this study proposes an approximate method for calculating the multiplication products of fuzzy number. This method can handle the vagueness and incompletion during the process of evaluation. A case study is also given to demonstrate the potential of the methodology.
机译：建立创新联盟现在已经成为实现中国国家大型项目研发任务的非常重要和必不可少的方式。作为构建合作伙伴关系系统的重要组成部分，合适的合作伙伴选择方法应该能够客观地评估候选人的表现。创新联盟的成员具有不同的背景，但是最合适的合作伙伴应该在建立联盟之前由发射器参与联盟。因此，本文的目的是将组织的不同特征作为影响因素考虑到权重设置中，并提出一种模糊层次分析法（AHP）来有效地评估候选人。根据模糊集理论的扩展原理，将定义为模糊数的语言变量应用于成对比较以避免模糊的情况，并且本研究提出了一种计算模糊数乘积的近似方法。该方法可以处理评估过程中的模糊性和不完善性。案例研究也证明了该方法的潜力。

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