Enhancing Regional Tourism: Ranking Tourism Destinations in Perlis using Fuzzy TOPSIS based on Internal Motivational Factors
DOI:
https://doi.org/10.24191/jcrinn.v11i1.559Keywords:
Fuzzy TOPSIS, Tourism Destination Ranking, Internal Motivational Factors, Perlis Tourism, Tourist PreferenceAbstract
Despite being Malaysia's smallest and most northern state, Perlis offers diverse tourist destinations that combine natural beauty and cultural heritage. The Visit Perlis 2024-2025 campaign has boosted tourism efforts. However, tourism planners encounter difficulties in understanding and ranking destinations due to the subjective and complex nature of tourist preferences. This study aims to evaluate and rank tourism destinations in Perlis by focusing on internal motivational factors such as psychological factors, physical factors, social interaction, and seeking/exploration. Expert evaluations were conducted using structured questionnaires to collect data from 19 popular tourist attractions. The fuzzy TOPSIS method was utilised to cope with the inherent complexity and vagueness associated with human judgment in tourism decision-making. Four tourism experts assessed the significance of each criterion as well as the performance of each destination. The results revealed that psychological factors greatly influenced tourist decisions, followed by social interaction, seeking/exploration, and physical factors. Pasar Terapung JPS Perlis emerged as the top-ranked destination with a closeness coefficient (CC) of 0.5377 due to its unique floating market experience similar to that in Thailand. It was closely followed by Taman Anggur Perlis (CC = 0.5373) and Nat Pokok Getah (CC = 0.5371). Conversely, lower-ranked destinations such as Muzium Kota Kayang (CC = 0.5326) highlight a need for more engaging and interactive visitor experiences. This study offers valuable information for stakeholders, including tourism planners, travel agencies, and policymakers, to customise marketing strategies, upgrade infrastructure, and enrich visitor experiences. It emphasises the need to strategically integrate tourism development initiatives with tourists’ intrinsic motivations, preferences, and experiential expectations in order to foster a more sustainable, competitive, and long-term tourism growth trajectory in Perlis.
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References
Bernama. (2018, January 22). Mengenang ekskavasi Kota Kayang. https://www.freemalaysiatoday.com/category/leisure/2018/01/22/mengenang-ekskavasi-kota-kayang
Buasri, N., & Sangpradid, S. (2025). Enhancing tourist experience: A Fuzzy TOPSIS approach to destination recommendation systems. GeoJournal of Tourism and Geosites, 58(1), 233–242. https://doi.org/10.30892/gtg.58120-1405
Çelik, S., & Dedeoğlu, B. B. (2019). Psychological factors affecting the behavioral intention of the tourist visiting Southeastern Anatolia. Journal of Hospitality and Tourism Insights, 2(4), 425–450. https://doi.org/10.1108/JHTI-01-2019-0005
Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9. https://doi.org/10.1016/S0165-0114(97)00377-1
Guo, X., Zeng, T., Wang, Y., & Zhang, J. (2019). Fuzzy TOPSIS approaches for assessing the intelligence level of IoT-based tourist attractions. IEEE Access, 7, 1195–1207. https://doi.org/10.1109/ACCESS.2018.2881339
He, K., Yang, Q., Wu, D., & Zou, Y. (2025). Optimizing tourism demand forecasting: An exploration of the combination of push-pull theory, big data analysis and tree-based machine learning models. Journal of Travel & Tourism Marketing, 42(5), 578–594. https://doi.org/10.1080/10548408.2025.2464804
Hsu, T.-K., Tsai, Y.-F., & Wu, H.-H. (2009). The preference analysis for tourist choice of destination: A case study of Taiwan. Tourism Management, 30(2), 288–297. https://doi.org/10.1016/j.tourman.2008.07.011
Mohamad, D., & Jamil, R. M. (2012). A preference analysis model for selecting tourist destinations based on motivational factors: A case study in Kedah, Malaysia. Procedia - Social and Behavioral Sciences, 65, 20–25. https://doi.org/10.1016/j.sbspro.2012.11.085
Morteza, Z., Reza, F. M., Seddiq, M. M., Sharareh, P., & Jamal, G. (2016). Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island. Ocean & Coastal Management, 130, 179–187. https://doi.org/10.1016/j.ocecoaman.2016.06.012
Nilashi, M., Samad, S., Manaf, A. A., Ahmadi, H., Rashid, T. A., Munshi, A., Almukadi, W., Ibrahim, O., & Hassan Ahmed, O. (2019). Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach. Computers & Industrial Engineering, 137, 106005. https://doi.org/10.1016/j.cie.2019.106005
Oshriyeh, O., Ghaffari, M., & Nematpour, M. (2022). Lines in the sand: the perceived risks of traveling to a destination and its influence on tourist information seeking behavior. International Journal of Tourism Cities, 8(4), 965–982. https://doi.org/10.1108/IJTC-07-2021-0138
Pan, B., Harbor, L., Park, S., Li, R., Schroeder, A., & Gong, Y. (2024). The motivation and experience of alma mater tourists. Annals of Tourism Research Empirical Insights, 5(1), 100118. https://doi.org/10.1016/j.annale.2023.100118
Tourism Malaysia. (2025). Malaysia Tourism Statistics in Brief 2024. https://data.tourism.gov.my/frontend/pdf/New_Final_Malaysia%20Tourism%20Statistics%20in%20Brief%202024.pdf#page=9.16
Utusan Malaysia. (2025, April 23). Hampir sejuta serbu Perlis dalam dua bulan. https://www.utusan.com.my/nasional/2025/04/hampir-sejuta-serbu-perlis-dalam-dua-bulan/
World Bank Group. (2025, May 14). Tourism and Competitiveness. https://www.worldbank.org/en/topic/competitiveness/brief/tourism-and-competitiveness#1
Wu, M.-Y., Tong, Y., Li, Q., Wall, G., & Wu, X. (2023). Interaction Rituals and Social Relationships in a Rural Tourism Destination. Journal of Travel Research, 62(7), 1480–1496. https://doi.org/10.1177/00472875221130495
Yoo, C.-K., Yoon, D., & Park, E. (2018). Tourist motivation: an integral approach to destination choices. Tourism Review, 73(2), 169–185. https://doi.org/10.1108/TR-04-2017-0085
Zouggari, A., & Benyoucef, L. (2012). Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem. Engineering Applications of Artificial Intelligence, 25(3), 507–519. https://doi.org/10.1016/j.engappai.2011.10.012
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Copyright (c) 2026 Yeong Kin Teoh, Nurul Syafiqah Mohd Suhaimee, Suzanawati Abu Hasan, Nor Azriani Mohamad Nor, Diana Sirmayunie Mohd Nasir (Author)

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