Calculation of harrington function (desirability function) values under interval determination of its arguments

V. Dubnitskiy, A. Kobylin, O. Kobylin, Yuri Kushneruk, A. Khodyrev
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Abstract

Purpose of work. Development of proposals for desirability function calculation by interval arithmetic method. Obtained results. A connection was shown between multiple-criterial (vector) optimization problem and calculation of Harrington function (desirability function) values. Generalized desirability function was shown to be treated as a multiplicative convolution of partial desirabilities. Using golden section properties, a connection was discerned between hierarchy analysis methods and calculation of desirability function values. In this case the distribution of probable desirability function values among intervals determined in accordance with golden mean rule does coincide with values obtained by expert method. Application of golden proportion enables increasing the number of intervals; thus, it may prove convenient in improvement of Harrington function sensitivity. Conclusions. For partial desirability function in its explicit form such geometric characteristics were determined as values of tangent, curvature of curve and center of curvature coordinates. For a necessary averaged desirability system obtaining process control, such characteristics were determined in general and explicit form as partial desirability elasticity, generalized desirability elasticity relative to partial desirability, generalized desirability elasticity relative to a variable that has physical sense and respective dimension depending on particular subject area and affects partial desirability value. To determine the boundary value of one partial desirability being substituted for another partial desirability, the rate of substitution function and boundary rate of substitution elasticity function were established. Due to errors emerging in determination of desirability function values application of interval analysis methods was proposed. Application of interval numbers as presented in hyperbolic form was shown for calcutaion of partial and generalized desirability, A partial power series sum was determined relative to a variable presented in hyperbolic form. Suggestions. The method of calculation of Harrington function (desirability function) values at interval determination of arguments was shown to be eventually used in development of specifications and preliminary design of complicated engineering аnd organizational systems.
参数区间确定下哈林顿函数(期望函数)值的计算
工作目的。用区间算术方法计算期望函数的建议的发展。已获得结果。多标准(向量)优化问题和Harrington函数(期望函数)值的计算之间存在联系。广义合意函数被证明是部分合意的乘法卷积。利用黄金分割特性,区分了层次分析方法和期望函数值计算之间的联系。在这种情况下,根据黄金平均数规则确定的区间之间的可能期望函数值的分布与通过专家方法获得的值一致。黄金比例的应用可以增加间隔的数量;因此,它可以方便地提高Harrington函数的灵敏度。结论。对于显式形式的偏理想函数,其几何特征被确定为切线值、曲线曲率值和曲率中心坐标值。对于获得过程控制的必要平均期望系统,这些特征以一般和明确的形式确定为部分期望弹性、相对于部分期望的广义期望弹性、,广义合意弹性相对于一个变量,该变量具有物理意义和取决于特定主题领域的相应维度,并影响部分合意值。为了确定一个局部合意被另一个局部可取所替代的边值,建立了替代率函数和边界替代率弹性函数。由于在确定期望函数值时出现误差,提出了区间分析方法的应用。给出了区间数在计算部分和广义合意性中的应用,确定了一个相对于双曲型变量的部分幂级数和。Harrington函数(期望函数)值的计算方法在自变量的区间确定中最终被用于复杂工程和组织系统的规范制定和初步设计。
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来源期刊
CiteScore
0.50
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0.00%
发文量
47
审稿时长
5 weeks
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