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Estimating Technology Readiness Level Coefficients

机译:估计技术准备水平系数

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摘要

NASA and U. S. Department of Defense technology readiness level scales are in widespread use and provide inputs for a variety of systems engineering and project management functions. The common nine-level technology readiness level scales have ordinal coefficients that both limit their usefulness and introduce errors if mathematical operations are performed on the technology readiness level scale values (e.g., averaging). The analytic hierarchy process was used to estimate cardinal technology readiness level scale values. The average of the deviations between the ordinal coefficients (one through nine) and the analytic-hierarchy-process-estimated cardinal coefficients was 166 %. A high-quality curve fit of the analytic-hierarchy-process-estimated coefficients was also developed (statistical coefficient of determination equal to 0.997), which permits the generation of noninteger technology readiness level values for use in mathematical operations.
机译:NASA和美国国防部的技术准备水平量表得到了广泛使用,并为各种系统工程和项目管理功能提供了投入。普通的九级技术准备水平量表具有序数系数,该序数系数限制了它们的有用性,并且如果对技术准备水平量表值(例如,平均值)执行数学运算,则会引入误差。层次分析法用于估计基本技术准备水平量表值。序数系数(从1到9)与层次分析法估计的基数系数之间的平均偏差为166%。还开发了高质量的分析层次过程估计系数曲线拟合(统计确定系数等于0.997),这允许生成用于数学运算的非整数技术准备水平值。

著录项

  • 来源
    《Journal of Spacecraft and Rockets》 |2011年第1期|p.146-152|共7页
  • 作者

    Edmund H. Conrow;

  • 作者单位

    Redondo Beach, California 90278;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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