A Strategy for Employing Multi-Criteria Decision-Making Techniques to Make Efficient Business Decisions

Authors

  • Priyanka Kanwar, Dr. Samarendra Mohan Ghosh

Keywords:

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Abstract

Decision-makers typically struggle to find a balance between competing objectives in today's complex business environment. Multi-criteria decision-making (MCDM) techniques provide a rigorous and dependable framework for managing this complexity by enabling the evaluation of many, often conflicting criteria. This research offers a comprehensive strategy for enhancing the efficacy of business decision-making through the use of MCDM techniques. The strategy incorporates the Analytic Hierarchy Process (AHP), the Technique
for Order of Preference by Similarity to Ideal Solution (TOPSIS), and other significant MCDM approaches. This paper illustrates the benefits of MCDM in decision process optimization and achieving long-term business results. 

References

Duleba, S., Çelikbilek, Y., Moslem, S., & Esztergár-Kiss, D. (2022). Application of grey analytic hierarchy process to estimate mode choice alternatives: A case study from Budapest. Transportation research interdisciplinary perspectives, 13, 100560.

Zulqarnain, R. M., Saeed, M., Ahmad, N., Dayan, F., & Ahmad, B. (2020). Application of TOPSIS method for decision making. Int. J. Sci. Res. in Mathematical and Statistical Sciences, 7(2).

Pacheco, A. G., & Krohling, R. A. (2018). Ranking of classification algorithms in terms of mean–standard deviation using A-TOPSIS. Annals of Data Science, 5, 93110.

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Published

2025-01-16

How to Cite

Priyanka Kanwar, Dr. Samarendra Mohan Ghosh. (2025). A Strategy for Employing Multi-Criteria Decision-Making Techniques to Make Efficient Business Decisions . Journal of Computational Analysis and Applications (JoCAAA), 34(1), 223–226. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1745

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Articles