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Enhancing User Experience in Smart Tourism via Fuzzy Logic-Based Personalization

Author

Listed:
  • Konstantina Chrysafiadi

    (Department of Informatics, University of Piraeus, 185 34 Piraeus, Greece)

  • Aristea Kontogianni

    (Department of Informatics, University of Piraeus, 185 34 Piraeus, Greece)

  • Maria Virvou

    (Department of Informatics, University of Piraeus, 185 34 Piraeus, Greece)

  • Efthimios Alepis

    (Department of Informatics, University of Piraeus, 185 34 Piraeus, Greece)

Abstract

In the era of smart tourism, providing seamless and personalized experiences has become significant for enhancing user satisfaction and engagement. This paper presents a novel fuzzy logic-based application system designed to enhance personalization in smart tourism. The proposed system integrates real-time user data and delivers customized services to each particular user. In particular, the proposed system incorporates a recommendation mechanism that combines TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with fuzzy logic to assess multiple criteria and user preferences and provide accurate and well-rounded personalized travel destination recommendations. By employing fuzzy logic, the system effectively overcomes challenges associated with uncertainty and subjectivity in user data, enabling precise and adaptable decision-making and ensuring more accurate service recommendations. Through case studies and simulations, the paper evaluates the system’s impact on enhancing user satisfaction and the overall tourism experience. Furthermore, preliminary evaluation results demonstrate the system’s ability to generate meaningful and seamless personalized recommendations that enhance the provided tourism services. This work contributes to the growing field of smart tourism by offering a scalable and user-centric solution. The scalability of the system is ensured through its efficient handling of multidimensional data, adaptability to diverse user profiles, and extendability to various tourism applications, including destination ranking, activity recommendations, and hotel selection. Additionally, its integration potential with existing travel platforms highlights its applicability in real-world scenarios, making it a robust tool for enhancing smart-tourism experiences.

Suggested Citation

  • Konstantina Chrysafiadi & Aristea Kontogianni & Maria Virvou & Efthimios Alepis, 2025. "Enhancing User Experience in Smart Tourism via Fuzzy Logic-Based Personalization," Mathematics, MDPI, vol. 13(5), pages 1-29, March.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:5:p:846-:d:1604566
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    References listed on IDEAS

    as
    1. Gretzel, Ulrike, 2018. "From smart destinations to smart tourism regions," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 42, pages 171-184.
    2. Mehrbakhsh Nilashi & Rabab Ali Abumalloh & Mesfer Alrizq & Ahmed Almulihi & O. A. Alghamdi & Murtaza Farooque & Sarminah Samad & Saidatulakmal Mohd & Hossein Ahmadi & Heng Liu, 2022. "A Hybrid Method to Solve Data Sparsity in Travel Recommendation Agents Using Fuzzy Logic Approach," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-20, June.
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