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基于粗糙集和信息熵的技术成熟度关键技术要素识别方法

     

摘要

Technology readiness has been widely used in complex structure product manufacturing,such as aeronautics and astro-nautics.Critical Technical Element(CTE) identification is the premise and foundation for technology readiness levels evaluation. To improve the deficiencies of traditional CTE identification method which relies on expert experience greatly,requires sufficient information and prior knowledge,has great uncertainty and so on,a new CTE identification method is proposed for the technology readiness levels evaluation which is based on rough set theory and information entropy theory.First,the theory of the attribute sig-nificance in rough sets is introduced to CTE identify,the importance degree of key technology is evaluated using the attribute sig-nificance.Secondly,the information entropy theory is introduced to modify the expert evaluation result for weakening the uncertain factors during the evaluation process.Then,the key technologies in key position of product development are screened out from the technology set using the quantified index of technology importance.Finally,the validity of the method is proved with an instance,the instance shows that the method can offer quantitative importance index of technology with strong operationally,engineering value.%技术成熟度评价被广泛应用在航空航天等复杂结构产品的制造领域,关键技术要素识别是技术成熟度评价的前提和基础.为改进传统关键技术要素识别方法存在的过于依赖专家主观经验、需要有充足的信息储备和先验知识以及不确定性大等不足,提出一种基于粗糙集和信息熵的技术成熟度关键技术要素量化识别方法.首先,将粗糙集理论中的属性重要度概念引入关键技术要素识别中,利用属性重要度对关键技术要素的重要程度进行评价;其次,引入信息熵对评价结果进行修正,以削弱专家评价过程中的不确定性,用修正后的技术要素重要度量化评价结果;然后,根据修正的技术要素重要度量化指标筛选出产品研制中处于关键地位的关键技术要素;最后,通过实例对该方法的有效性进行了验证.结果表明该方法可提供量化指标,可操作性强,具有良好的工程应用价值.

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