Integrated Ranking Algorithm for Efficient Decision Making

N. Deepa (), B. Prabadevi () and Gautam Srivastava
Additional contact information
N. Deepa: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
B. Prabadevi: School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Gautam Srivastava: Department of Mathematics and Computer Science, Brandon University, MB, Canada3Research Center for Interneural Computing, China Medical University, Taichung 40402, Taiwan, R.O.C.

International Journal of Information Technology & Decision Making (IJITDM), 2021, vol. 20, issue 02, 597-618

Abstract: Decision making remains a prominent issue in all the problem domains. To make better decisions, multiple factors of the given problem need to be considered and evaluated. Multi-criteria decision-making methods have been used popularly for solving decision-making problems characterized by multiple factors. When multiple factors are considered, it is recommended to categorize the factors into the main criteria and sub-criteria. In this paper, GRAP-an integrated ranking algorithm has been developed by combining Grey Relational Analysis, Rank Sum, and Preference Ranking Organization Method Enrichment Evaluation methods (PROMETHEE) to solve decision-making problems. The weights of the sub-criteria are calculated using the Rank Sum method. Grey Relational Analysis method is used to convert the sub-criteria values into main criteria values in the form of evaluation scores of alternatives. The final ranking scores of the alternatives are obtained using the PROMETHEE method. A decision model is developed using the proposed GRAP algorithm and applied to the Job Profile selection case study. The developed decision model showed much better results compared to other MCDM approaches namely the Simple Additive Weight method, TOPSIS, VIKOR, and Complex Proportional Assessment (COPRAS). Further, a sanity check has been carried out by comparing the results of the decision model with experts’ opinions.

Keywords: Decision making; Grey relational analysis; job profile selection; rank sum; PROMETHEE; integrated ranking (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622021500152
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:20:y:2021:i:02:n:s0219622021500152

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622021500152

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().