@Article{cmc.2024.055260,
AUTHOR = {Daekook Kang, Ramya Lakshmanaraj, Samayan Narayanamoorthy, Navaneethakrishnan Suganthi Keerthana Devi, Samayan Kalaiselvan, Ranganathan Saraswathy, Dragan Pamucar, Vladimir Simic},
TITLE = {Fuzzy Multi-Criteria Decision Support System for the Best Anti-Aging Treatment Selection Process through Normal Wiggly Hesitant Fuzzy Sets},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {80},
YEAR = {2024},
NUMBER = {3},
PAGES = {4947--4972},
URL = {http://www.techscience.com/cmc/v80n3/57916},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2024.055260}
}