IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v59y2022i3d10.1007_s12597-022-00591-3.html
   My bibliography  Save this article

New multi-objective optimization model for tourism systems with fuzzy data and new algorithm for solving this model

Author

Listed:
  • Gholamreza Shojatalab

    (University of Mazandaran)

  • Seyed Hadi Nasseri

    (University of Mazandaran)

  • Iraj Mahdavi

    (Mazandaran University of Science and Technology)

Abstract

Tourism is one of the fastest-growing industries in the world and the most significant service sector industry. A fundamental question that can be prompted is how to minimize the total tour cost and, at the same time, design the tour to make the tourists get maximum satisfaction. This paper proposes a new multi-objective optimization model for tourism systems. We have considered problem modelling in the form of multi-objective optimization in which we can optimize the conflicting goals at the same time. Here we have considered a provider of tour packages that intends to minimize its total costs and, at the same time, maximize the satisfaction of tourists with their packages. In our proposed model, some of the model parameters are fuzzy numbers, so an appropriate algorithm is proposed to solve the multi-objective optimization model. The results can offer constructive suggestions on how to design tours on the part of tourism enterprises and choose a proper tour. The main advantage of this study is to consider the problem of optimizing tourism systems in the form of a multi-objective optimization problem that uses both fuzzy and non-fuzzy numbers at the same time. Also, to deal with this specific multi-objective optimization model, a new algorithm based on the Epsilon constraint method is proposed. The proposed algorithm is used in a case study, and in this example, it performed better than the other algorithms.

Suggested Citation

  • Gholamreza Shojatalab & Seyed Hadi Nasseri & Iraj Mahdavi, 2022. "New multi-objective optimization model for tourism systems with fuzzy data and new algorithm for solving this model," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 1018-1037, September.
    • Handle: RePEc:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-022-00591-3
    DOI: 10.1007/s12597-022-00591-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-022-00591-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-022-00591-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wei, Chun-Chin & Chien, Chen-Fu & Wang, Mao-Jiun J., 2005. "An AHP-based approach to ERP system selection," International Journal of Production Economics, Elsevier, vol. 96(1), pages 47-62, April.
    2. Armindo Frias & João Cabral & à lvaro Costa, 2015. "Logistic optimization in tourism networks," ERSA conference papers ersa15p1451, European Regional Science Association.
    3. Mahsa Parsaei Motamed & Shahrooz Bamdad, 2022. "A multi-objective optimization approach for selecting risk response actions: considering environmental and secondary risks," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 266-303, March.
    4. Calver, Stephen J. & Page, Stephen J., 2013. "Enlightened hedonism: Exploring the relationship of service value, visitor knowledge and interest, to visitor enjoyment at heritage attractions," Tourism Management, Elsevier, vol. 39(C), pages 23-36.
    5. Matthias Ehrgott, 2005. "Multicriteria Optimization," Springer Books, Springer, edition 0, number 978-3-540-27659-3, February.
    6. Armin Mahmoudi & Leila Hashemi & Milad Jasemi & James Pope, 2021. "A comparison on particle swarm optimization and genetic algorithm performances in deriving the efficient frontier of stocks portfolios based on a mean‐lower partial moment model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5659-5665, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Skare, Marinko & Gavurova, Beata & Polishchuk, Volodymyr & Nawazish, Mirza, 2023. "A fuzzy model for evaluating the level of satisfaction of tourists regarding accommodation establishments according to social class on the example of V4 countries," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Gholamreza Shojatalab & Seyed Hadi Nasseri & Iraj Mahdavi, 2023. "New multi-objective optimization model for tourism systems with fuzzy data and new approach developed epsilon constraint method," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1360-1385, September.
    3. K. Kapil Raj & S. Srinivasan & C. D. Nandakumar, 2023. "Efficiency analysis of reinsurers in India: a three stage fuzzy closed system DEA approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1179-1201, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gholamreza Shojatalab & Seyed Hadi Nasseri & Iraj Mahdavi, 2023. "New multi-objective optimization model for tourism systems with fuzzy data and new approach developed epsilon constraint method," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1360-1385, September.
    2. Joanna Sadłowska-Wrzesińska & Kamila Piosik & Żaneta Nejman, 2022. "Psychosocial Context of OSH-Remote Work of Academic Teachers in the Perspective of Sustainable Development," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    3. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
    4. Fritz Bökler & Henning Jasper, 2024. "Complexity of the multiobjective minimum weight minimum stretch spanner problem," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 100(1), pages 65-83, August.
    5. Wu, Weitiao & Lin, Yue & Liu, Ronghui & Jin, Wenzhou, 2022. "The multi-depot electric vehicle scheduling problem with power grid characteristics," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 322-347.
    6. Hughes, Michael S. & Lunday, Brian J. & Weir, Jeffrey D. & Hopkinson, Kenneth M., 2021. "The multiple shortest path problem with path deconfliction," European Journal of Operational Research, Elsevier, vol. 292(3), pages 818-829.
    7. Hung-Ming Tu, 2020. "Sustainable Heritage Management: Exploring Dimensions of Pull and Push Factors," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    8. Martins, C.L. & Pato, M.V., 2024. "Decomposition heuristics for multiobjective problems. The Food bank network redesign case," International Journal of Production Economics, Elsevier, vol. 268(C).
    9. Bogdana Stanojević & Milan Stanojević & Sorin Nădăban, 2021. "Reinstatement of the Extension Principle in Approaching Mathematical Programming with Fuzzy Numbers," Mathematics, MDPI, vol. 9(11), pages 1-16, June.
    10. Yanis Elalamy & Luc Doyen & Lauriane Mouysset, 2019. "Contribution of the land use allocation model for agroecosystems: The case of Torrecchia Vecchia," Post-Print hal-03143304, HAL.
    11. Stelios Rozakis & Athanasios Kampas, 2022. "An interactive multi-criteria approach to admit new members in international environmental agreements," Operational Research, Springer, vol. 22(4), pages 3461-3487, September.
    12. Ge, Liping & Voß, Stefan, 2009. "ERP application in China: An overview," International Journal of Production Economics, Elsevier, vol. 122(1), pages 501-507, November.
    13. Büyüközkan, Gülçin & Ruan, Da, 2008. "Evaluation of software development projects using a fuzzy multi-criteria decision approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(5), pages 464-475.
    14. Molnár Bálint & Szabó Gyula & Benczúr András, 2013. "Selection Process of ERP Systems," Business Systems Research, Sciendo, vol. 4(1), pages 36-48, March.
    15. I. Kaliszewski & J. Miroforidis, 2022. "Probing the Pareto front of a large-scale multiobjective problem with a MIP solver," Operational Research, Springer, vol. 22(5), pages 5617-5673, November.
    16. Euler, Ricardo & Maristany de las Casas, Pedro, 2024. "Labeling methods for partially ordered paths," European Journal of Operational Research, Elsevier, vol. 318(1), pages 19-30.
    17. Manuel V. C. Vieira & Margarida Carvalho, 2023. "Lexicographic optimization for the multi-container loading problem with open dimensions for a shoe manufacturer," 4OR, Springer, vol. 21(3), pages 491-512, September.
    18. Deng, Xinyang & Jiang, Wen & Wang, Zhen, 2020. "An Information Source Selection Model Based on Evolutionary Game Theory," Applied Mathematics and Computation, Elsevier, vol. 385(C).
    19. S H Choi & S M Bae, 2009. "Strategic information systems selection with incomplete preferences: a case of a Korean electronics company," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 180-190, February.
    20. Petr Iakovlevitch Ekel & Matheus Pereira Libório & Laura Cozzi Ribeiro & Mateus Alberto Dorna de Oliveira Ferreira & Joel Gomes Pereira Junior, 2024. "Multi-Criteria Decision under Uncertainty as Applied to Resource Allocation and Its Computing Implementation," Mathematics, MDPI, vol. 12(6), pages 1-20, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opsear:v:59:y:2022:i:3:d:10.1007_s12597-022-00591-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.