全球供应链系统环境下科技协同创新伙伴关系模糊组合评估方法

摘要

The evaluation of science and technology ( S&T ) collaborative innovation partners is an important and complicated multi-criteria decision-making issue in supply chain system ( SCS ) , directly affect the efficiency and effectiveness of technological innovation. Selecting appropriate partners will greatly enhance Chinese enterprises and the whole country's independent innovation. In the existing methods for S&T collaborative innovation partner evaluation, the collaborative issue in SCS is seldom considered during the process of evaluating S&T partner. In addition, Vagueness and uncertainty are also associated with the process of partner evaluation. Therefore, the purpose of this article is to establish an integrated decision method for evaluation of S&T collaborative innovation partners in SCS under uncertain and vague environment. The article established an approach based on fuzzy ANP ( analytic network process) and TOPSIS ( technique for order performance by similarity to an ideal solution ) . An example was solved to illustrate the effectiveness and feasibility of the suggested method. The results based on case study show that this method can improve decision quality and effectiveness.%供应链系统环境下的科技协同创新伙伴评估是复杂的多目标决策问题，直接影响到科技创新效率和效果。成功的科技协同创新伙伴评估与选择，将大力提升我国企业乃至整个国家的自主创新能力。目前的评估方法很少考虑全球供应链环境下科技合作伙伴间的协同创新问题。另外，科技合作伙伴评估信息具有模糊和不确定性。本文提出一个考虑信息模糊和不确定性因素的科技协同创新合作伙伴FANP-TOPSIS组合评价方法，详细给出了建模过程和应用步骤，实例应用结果显示该方法的可行性和有效性，能提高决策质量和效率。