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On Study of the Fractal Dimension of the Vector

机译:向量的分形维数研究

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摘要

The paper obtains approximation error limit in no cross-hierarchy through connection on the analytic hierarchy process, multivariate linear regression model and PROGRAMMING nonlinear programming. In addition, weight calculation is unified by algorithm of vector decomposition dimension and quasi orthogonal weight, calculated through corresponding to the objective value. That overcomes subjective and difficult degeneration in constructing pairwise comparison matrix in analytic hierarchy process. By computer simulation, the result obtained, using algorithm of vector decomposition dimension and quasi orthogonal weigh are better than that from the analytic hierarchy process, by 2% in terms of ccuracy, Therefore, the algorithm has application and replicability.
机译:通过与层次分析法,多元线性回归模型和非线性规划程序的联系,获得了无交叉层次的近似误差极限。另外,权重的计算是通过矢量分解维数和准正交权重的算法统一实现的,并根据目标值进行计算。克服了在层次分析法中构建成对比较矩阵的主观和难于退化的问题。通过计算机仿真,使用向量分解维数和准正交加权算法得到的结果在精度上要比层次分析法高出2%,因此具有实用性和可复制性。

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