Research Article Open Access

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

Abdul Kadar Muhammad Masum1, A.N.M. Rezaul Karim1, Faisal Bin Al Abid1, Saiful Islam1 and Mohammad Anas1
  • 1 International Islamic University Chittagong, Bangladesh
Journal of Computer Science
Volume 15 No. 12, 2019, 1746-1751

DOI: https://doi.org/10.3844/jcssp.2019.1746.1751

Submitted On: 9 July 2019 Published On: 10 December 2019

How to Cite: Masum, A. K. M., Karim, A. R., Al Abid, F. B., Islam, S. & Anas, M. (2019). A New Hybrid AHP-TOPSIS Method for Ranking Human Capital Indicators by Normalized Decision Matrix. Journal of Computer Science, 15(12), 1746-1751. https://doi.org/10.3844/jcssp.2019.1746.1751

Abstract

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.

  • 696 Views
  • 262 Downloads
  • 0 Citations

Download

Keywords

  • AHP-TOPSIS
  • Human Capital
  • MCDM
  • Decision Matrix