WASPAS Method for Healthcare Systems based on Intuitionistic Fuzzy Information

Authors

Abrar Hussain¹ , Saba Majeed¹ , Muhammad Shoaib¹ , Hammas Ali¹ , Kifayat Ullah¹

1. Department of Mathematics, Riphah International University (Lahore Campus), 54000, Lahore, Pakistan

Conference / event

2nd Workshop on Advancements in Mathematics & its Applications (WAMA)-2024, June 2024 (Riphah International Univesity Lahore campus Gulberg, Pakistan)

Poster summary

An intuitionistic fuzzy set is a potent approach used to eliminate the effects of insufficient and vague type information on human opinion with two aspects of positive and negative values of an object. This presentation proposed an advanced optimization technique of the WASPAS method for the multi-criteria decision-making problem. We investigate artificial intelligence (AI) coordination in the healthcare system through numerical examples.

Keywords

Intuitionistic fuzzyinformation, Multi-criteria decision-making problem, Artificial Intelligence

Research areas

Environmental Engineering, Systems Science, Medical Imaging, Mathematics, Computer and Information Science

References

No data provided

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2024 Hussain et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.