工业机器人的多准则选择:用ahp -熵- topsis联合建模用户偏好

I. Petrov
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引用次数: 1

摘要

本文探讨了一种混合方法在工业机器人选择中的应用,包括主观层次分析法(AHP)和客观熵法。通过对传统的熵值方法和基于已有代表性数据集的混合方法的比较分析,揭示了建立用户偏好模型和提高决策过程质量的新可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-criteria selection of industrial robots: modelling users' preferences in combined AHP-Entropy-TOPSIS
In this paper we explore the application of a hybrid approach for selecting industrial robots including the subjective Analytical Hierarchy Process (AHP) and the objective entropy approach. The comparative analysis of the traditional entropy method and the hybrid method based on an existing representative dataset reveals new possibilities to model the user's preference and to improve the quality of the decision process.
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