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Using the fuzzy analytic network process for selecting technology R&D projects

机译:使用模糊分析网络过程选择技术研发项目

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摘要

Technology development programs have proven to be useful strategies for governments to encourage private firms to undertake R&D projects. Due to limited budgets, a government must select proper R&D projects for funding. R&D project selection is full of uncertainty and can be viewed as a multiple-criteria decision that is normally made by a review committee. In this study, we propose a fuzzy analytic network process method to handle interdependency among evaluation criteria and integrate the divergent judgements of experts in a R&D project selection committee. Our findings suggest that 'scientific and technological merit' and 'project execution' are the most important criteria and, moreover, indicate that the relative importance of evaluation criteria changes in different degrees of uncertainty.
机译:事实证明,技术开发计划是政府鼓励私人公司进行研发项目的有用策略。由于预算有限,政府必须选择适当的研发项目来筹集资金。研发项目的选择充满不确定性,可以视为通常由审查委员会做出的多标准决策。在这项研究中,我们提出了一种模糊分析网络处理方法,以处理评估标准之间的相互依赖性,并整合研发项目选择委员会中专家的不同判断。我们的发现表明,“科学和技术价值”和“项目执行”是最重要的标准,此外,还表明评估标准的相对重要性会在不同程度的不确定性中发生变化。

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