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孙凌宇,朱丽莉,张小俊,等. 基于模糊层次分析法的关键技术元素识别[J]. 科学技术与工程, 2020, 20(24): 9816-9821.
孙凌宇,zhulili,张小俊,et al.Critical Technological Element Recognition Based on Fuzzy Analytic Hierarchy Process[J].Science Technology and Engineering,2020,20(24):9816-9821.
基于模糊层次分析法的关键技术元素识别
Critical Technological Element Recognition Based on Fuzzy Analytic Hierarchy Process
投稿时间:2019-11-06  修订日期:2020-06-02
DOI:
中文关键词:  技术就绪水平 关键技术元素 模糊层次分析法 权重系数
英文关键词:Technology Readiness Level Critical technology elements Fuzzy analytic hierarchy process Weight coefficient
基金项目:国家重点研发计划
              
作者单位
孙凌宇 河北工业大学
朱丽莉 河北工业大学
张小俊 河北工业大学
刘策 河北工业大学
王艳晖 中广核研究院有限公司
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中文摘要:
      技术就绪水平评估广泛应用于多学科交叉的制造领域,关键技术元素识别是进行技术就绪水平评估的关键步骤,是降低项目或产品研制过程中的风险,减少研制成本的重要保障。传统关键技术元素识别一般采用专家筛选法,通过讨论得出最终一致性的关键技术元素清单,其结果主观性和不确定性较大,造成关键技术元素丢失或冗余,直接影响技术就绪水平的量化识别。为此,本文提出一种运用FAHP原理进行关键技术元素识别的方法。首先专家依据判定准则和重要程度标度建立模糊判断矩阵,其次将调整为模糊一致性矩阵,然后求解各项子技术元素的重要度,最后根据重要度量化评价结果识别出关键技术元素并通过实例对验证了其有效性。结果表明该方法结合定性分析与定量分析,减小了不确定性因素影响,具有良好的工程应用价值。
英文摘要:
      The technology readiness assessment is widely used in multidisciplinary manufacturing areas. The identification of critical technical elements is a key step in the assessment of technology readiness levels, and is an important guarantee for reducing risks in project or product development and reducing development costs. The identification of traditional critical technical elements generally adopts the expert screening method. Through discussion, the list of critical technical elements of final consistency is obtained, the results are subjective and uncertain, resulting in the loss or redundancy of critical technical elements, that directly affects the technical readiness quantitative identification . For this reason, a method of critical technology element identification based on FAHP principle is proposed in this paper. Firstly, the expert establishes the fuzzy judgment matrix according to the criterion and the importance degree scale, and then adjusts to the fuzzy consistency matrix, then solves the importance degree of each sub-technical element, and finally identifies the critical technical elements according to the important measurement evaluation results and passes the example. The pair verified its validity. It is concluded that the method combines qualitative analysis and quantitative analysis to reduce the influence of uncertainty factors and has good engineering application value.
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