Selecting an Optimal Approach to Reduce Drivers of Climate Change in a Complex Intuitionistic Fuzzy Environment

Asima Razzaque, Abdul Razaq, Afifa Khalid, Ibtisam Masmali (), Umer Shuaib () and Ghaliah Alhamzi
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Asima Razzaque: Department of Basic Sciences, King Faisal University Al Ahsa, Al Hofuf 31982, Saudi Arabia
Abdul Razaq: Department of Mathematics, Division of Science and Technology, University of Education, Lahore 54770, Pakistan
Afifa Khalid: Department of Mathematics, Government College University, Faisalabad 38000, Pakistan
Ibtisam Masmali: Department of Mathematics, College of Science, Jazan University, Jazan 45142, Saudi Arabia
Umer Shuaib: Department of Mathematics, Government College University, Faisalabad 38000, Pakistan
Ghaliah Alhamzi: Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11564, Saudi Arabia

Sustainability, 2023, vol. 15, issue 16, 1-25

Abstract: The sustainability of the climate is a critical concern in the modern world. A variety of acts are included in sustainability that strive to lessen our carbon footprint and maintain the fragile balance of our world. To preserve a sustainable future for future generations, we must cooperate in adopting renewable energy sources, supporting green transportation, and implementing responsible land use. In this article, we propose the concepts of complex intuitionistic fuzzy Dombi hybrid averaging (CIFDHA) and complex intuitionistic fuzzy Dombi hybrid geometric (CIFDHG) operators within the framework of a complex intuitionistic fuzzy environment. Furthermore, we explore several additional important features of these operators. To overcome the limitations of the existing score function within the CIF knowledge context, we present a new and improved score function. Additionally, we apply the proposed score function and newly defined operators to select an optimal strategy for mitigating the drivers of climate change and saving the planet’s valuable resources for a more livable and resilient planet. In order to demonstrate the validity and practicality of the suggested strategies, we conducted a comparative study of these novel techniques with existing methods.

Keywords: CIFDHA operator; CIFDHG operator; multi-criteria decision-making problem (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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