WASPAS Method for Healthcare Systems based on Intuitionistic Fuzzy Information

作者

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

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

会议/活动

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

海报摘要

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.

关键词

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

研究领域

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

参考文献

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基金

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补充材料

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附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

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

知识共享许可协议

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.