MFS: Dynamic decision making approach to select optimal alternative in the presence of uncertainty

SI, AMALENDU; Das, Sujit

doi:10.22111/ijfs.2025.49694.8773

Document Type : Research Paper

Authors

AMALENDU SI ¹
Sujit Das ²

¹ Maulana Abul Kalam Azad University of Technology

² Quarter No D 4/4, Nit Warangal Staff Quarter (Outside Campus)

https://doi.org/10.22111/ijfs.2025.49694.8773

Abstract

The concept of a multi-fuzzy set (MFS) is a hybrid mathematical approach
that aids reasoning and decision-making in situations characterized by impre
cise information and multiple occurrences. Researchers have developed robust
MFS-based frameworks that facilitate decision-making by identifying optimal
alternatives. However, these frameworks often struggle to select the desired alter
native in uncommon situations. To address the limitations of existing methods,
we incorporated relations and operators with MFS to better measure levels of
uncertainty. To enhance the effectiveness of decision-making, we proposed two
approaches based on the significance of the criteria within the MFS framework.
First, we introduced a relative weight-based approach, where the weight of each
criterion is estimated dynamically. Second, we developed a normalized-based
decision-making approach, which generates optimal solutions based on normal
ized score factors. We demonstrated the effectiveness of our proposed approaches
using semi-realistic cases in health science and healthcare management. Further
more, we evaluated the performance of the healthcare system across different
socio-economic regions, which helped to illustrate the relative importance of the
criteria

Keywords

Main Subjects

Decision Making

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MFS: Dynamic decision making approach to select optimal alternative in the presence of uncertainty

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References

Volume 22, Issue 2March and April 2025Pages 81-95

Volume 22, Issue 2
March and April 2025
Pages 81-95