Open Access

ARTICLE

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

by Salma Khan¹, Muhammad Gulistan¹, Nasreen Kausar², Seifedine Kadry^3,4,5, Jungeun Kim^6,*

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:

(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

Received 16 June 2023; Accepted 21 July 2023; Issue published 17 November 2023

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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Keywords

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