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A New Hybrid AHP-TOPSIS Method for Ranking Human Capital Indicators by Normalized Decision Matrix

机译:一种新的混合AHP-TOPSIS方法,用于通过规范化决策矩阵排列人力资本指标

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Human Capital or HC plays a significant role in the field of economic growth. Advancement on human capital and knowledge-based economy are of core importance for developing countries. Active representatives of capital accumulation are the people and utilizing natural resources for contributing to the socio-economic growth of the country. Evaluation of HC helps organizations to concern about their present position taking Human Capital Management into account. The core goal of this work is to measure performance of each organization individually based on criteria and rating the individual depending on the measurements. The technique used in this paper is based on the integration of "AHP" and "TOPSIS" as "AHP-TOPSIS" Hybrid method. The Analytic Hierarchy Process determines criteria's weight and significance of the indicators or alternatives. The final ranking of HC is done by TOPSIS method considering the importance of the indicators. The proposed MCDM approach is effective, compatible and reliable considering the goal of the study.
机译:人力资本或HC在经济增长领域发挥着重要作用。人力资本和知识经济的进步对发展中国家具有核心重要性。资本积累的积极代表是人民,利用自然资源来促进该国的社会经济增长。 HC的评估有助于组织关注他们现在考虑人力资本管理的现状。这项工作的核心目标是根据测量来单独衡量每个组织的性能,并根据测量评定个人。本文使用的技术基于“AHP”和“TOPSIS”作为“AHP-TOPSIS”混合方法的集成。分析层次过程确定指标或替代品的重量和重要性。考虑到指标的重要性,通过TOPSIS方法完成了HC的最终排名。考虑到该研究的目标,所提出的MCDM方法是有效的,兼容和可靠的。

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