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

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 socioeconomic 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.

Combination of Analytic Hierarchy Process and Simple Additive Weighting for Recommendation Tourist Attractions

“…AHP method is one of the foremost well-known pairwise comparison strategies for decision-making in Multi-Criteria Decision Making (MCDM) problems [6]. The AHP method aims to assist decision-makers in combining qualitative and quantitative components in complex issues.…”

“…The AHP method aims to assist decision-makers in combining qualitative and quantitative components in complex issues. The AHP process works as follows [6].…”

“…The second rank scored 0.9117 in the second place; The third place got a score of 0.9115. Other research [6] uses the "AHP-TOPSIS" method to evaluate human capital in helping organizations.…”

“…We use the "Analytical Hierarchical Process" (AHP) [12] to discover the overall significance of the options by using comparisons of alternatives based on several predetermined criteria. Moreover, when the criteria weights have been adjusted, AHP can separate the decision problem [6]. The SAW method will be used to calculate weighted alternative normalization to produce preference values that can be ranked to determine recommended tourist attractions.…”

Analisis Hybrid Decision Support System dalam Penentuan Status Kelulusan Mahasiswa

“…Pendekatan AHP dan TOPSIS juga mampu memberikan gambaranhasil keluaran yang cukup baik dengan menetapkan bobot dan kriteria dalam setiap proses analisis yang dilakukan [27]. Dalam hal lainnya menjelaskan bahwa konsep HDSS menyajikan hasil keluaran yang signifikan [28], [29].…”