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Ranking of AI-Based Criteria in Health Tourism Using Fuzzy SWARA Method

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Ranking of AI-Based Criteria in Health Tourism Using Fuzzy SWARA Method

Basirat, Sepideh, Raoufi, Sadaf, Bazmandeh, Danial, Khamoushi, Sayeh and Entezami, Mahmoudreza (2025) Ranking of AI-Based Criteria in Health Tourism Using Fuzzy SWARA Method. Computer and Decision Making: An International Journal, 2 . pp. 530-545. ISSN 3008-1416

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Official URL: https://doi.org/10.59543/comdem.v2i.13795

Abstract

Health tourism, as a dynamic and rapidly growing sector of the tourism industry, plays a fundamental role in strengthening national economies, increasing international interactions and improving the quality of healthcare services. By integrating healthcare, wellness and recreational services, this field has become one of the key drivers for attracting foreign tourists. The emergence of artificial intelligence (AI) as a transformative technology offers unparalleled potential to optimize health tourism services. Using AI in trip planning, improving user experience and predicting the needs of health tourists has gained significant importance. This study aims to identify and rank AI-based criteria in health tourism. By reviewing and analysing previous studies, key criteria in health tourism influenced by AI were identified. Subsequently, these criteria were evaluated and ranked using Fuzzy SWARA method. The ranking results indicate that “healthcare service quality (C11)”, “competence and reputation of physicians (C12)”, “hospital equipment and facilities (C13)”, “political stability and security (C41)” and “access to medical information (C14)” were ranked first to fifth, respectively. These findings highlight the crucial role of AI in enhancing service quality and improving the experience of health tourists. The results of this study can be beneficial for policymakers and stakeholders in the health tourism sector for better planning and attracting more tourists.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Article
Refereed:Yes
Authors:Basirat, Sepideh and Raoufi, Sadaf and Bazmandeh, Danial and Khamoushi, Sayeh and Entezami, Mahmoudreza
Journal or Publication:Computer and Decision Making: An International Journal
Date:30 March 2025
Digital Object Identifier (DOI):doi10.59543/comdem.v2i.13795
Keywords:Health Tourism, Artificial Intelligence, Decision-Making, Fuzzy SWARA
ID Code:995390
Deposited By: Mahmoudreza Entezami
Deposited On:07 Apr 2025 18:05
Last Modified:07 Apr 2025 18:05
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