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Fuzzy Multi-Criteria Decision Support System for the Best Anti-Aging Treatment Selection Process through Normal Wiggly Hesitant Fuzzy Sets
1 Department of Industrial and Management Engineering, Institute of Digital Anti-Aging Health Care, Inje University, Gimhae-si, 50834, Republic of Korea
2 Department of Mathematics, Bharathiar University, Coimbatore, 641046, India
3 Department of Social Work, SRMV Collge of Arts and Science, Coimbatore, 641020, India
4 Department of Radiology, Karpagam Medical College and Hospital, Coimbatore, 641032, India
5 Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, 11000, Serbia
6 College of Engineering, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan City, 320315, Taiwan
7 Department of Mechanics and Mathematics, Western Caspian University, Baku, AZ1001, Azerbaijan
8 Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, 11000, Serbia
9 Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, 02841, Republic of Korea
* Corresponding Author: Dragan Pamucar. Email:
Computers, Materials & Continua 2024, 80(3), 4947-4972. https://doi.org/10.32604/cmc.2024.055260
Received 21 June 2024; Accepted 19 August 2024; Issue published 12 September 2024
Abstract
This socialized environment among educated and developed people causes them to focus more on their appearance and health, which turns them towards medical-related treatments, leading us to discuss anti-aging treatment methods for each age group, particularly for urban people who are interested in this. Some anti-aging therapies are used to address the alterations brought on by aging in human life without the need for surgery or negative effects. Five anti-aging therapies such as microdermabrasion or dermabrasion, laser resurfacing anti-aging skin treatments, chemical peels, dermal fillers for aged skin, and botox injections are considered in this study. Based on the criteria of safety risk, investment cost, customer happiness, and side effects, the optimal alternative is picked. As a result, a Normal Wiggly Hesitant Pythagorean Fuzzy Set (NWHPFS) is constructed and used in Multi-Criteria Decision-Making (MCDM) using traditional wavy mathematical approaches. The entropy approach is utilized to determine weight values, and the Normal Wiggly Hesitant Pythagorean-VlseKriterijumska Optimizacija I Kompromisno Resenje (NWHPF-VIKOR) method is utilized to rank alternatives using MCDM methodologies. Sensitivity analysis and comparative analysis were performed to ensure the robustness and reliability of the proposed method. The smart final choice will undoubtedly assist Decision Makers (DM) in making the right judgments, and the MCDM approach will undoubtedly assist individuals in understanding the medicine.Keywords
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