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A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using q−Rung Orthopair Fuzzy Hypersoft Environment

Salma Khan1, Muhammad Gulistan1, Nasreen Kausar2, Seifedine Kadry3,4,5, Jungeun Kim6,*

1 Department of Mathematics and Statistics, Hazara University, Mansehra, 21120, Pakistan
2 Department of Mathematics, Faculty of Arts and Sciences, Yildiz Technical University, Esenler, Istanbul, 34210, Turkey
3 Department of Applied Data Science, Noroff University College, Kristiansand, 4612, Norway
4 Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, 346, United Arab Emirates
5 Department of Electrical and Computer Engineering, Lebanese American University, P.O. Box 13-5053, Byblos, Lebanon
6 Department of Software and CMPSI, Konju National University, Cheonan, 31080, Korea

* Corresponding Author: Jungeun Kim. Email: email

(This article belongs to the Special Issue: Advances in Ambient Intelligence and Social Computing under uncertainty and indeterminacy: From Theory to Applications)

Computer Modeling in Engineering & Sciences 2024, 138(2), 1951-1979. https://doi.org/10.32604/cmes.2023.030896

Abstract

Tourism is a popular activity that allows individuals to escape their daily routines and explore new destinations for various reasons, including leisure, pleasure, or business. A recent study has proposed a unique mathematical concept called a q−Rung orthopair fuzzy hypersoft set (ROFHS) to enhance the formal representation of human thought processes and evaluate tourism carrying capacity. This approach can capture the imprecision and ambiguity often present in human perception. With the advanced mathematical tools in this field, the study has also incorporated the Einstein aggregation operator and score function into the ROFHS values to support multi-attribute decision-making algorithms. By implementing this technique, effective plans can be developed for social and economic development while avoiding detrimental effects such as overcrowding or environmental damage caused by tourism. A case study of selected tourism carrying capacity will demonstrate the proposed methodology.

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APA Style
Khan, S., Gulistan, M., Kausar, N., Kadry, S., Kim, J. (2024). A novel method for determining tourism carrying capacity in a decision-making context using q−rung orthopair fuzzy hypersoft environment. Computer Modeling in Engineering & Sciences, 138(2), 1951-1979. https://doi.org/10.32604/cmes.2023.030896
Vancouver Style
Khan S, Gulistan M, Kausar N, Kadry S, Kim J. A novel method for determining tourism carrying capacity in a decision-making context using q−rung orthopair fuzzy hypersoft environment. Comput Model Eng Sci. 2024;138(2):1951-1979 https://doi.org/10.32604/cmes.2023.030896
IEEE Style
S. Khan, M. Gulistan, N. Kausar, S. Kadry, and J. Kim "A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using q−Rung Orthopair Fuzzy Hypersoft Environment," Comput. Model. Eng. Sci., vol. 138, no. 2, pp. 1951-1979. 2024. https://doi.org/10.32604/cmes.2023.030896



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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