Using Sugeno-Weber Triangular Norm-Based Interval Value Spherical Fuzzy Information for Recycled Water
Journal Title: Acadlore Transactions on Applied Mathematics and Statistics - Year 2024, Vol 2, Issue 3
Abstract
This work aims to apply the spherical fuzzy set (SFS), a flexible framework for handling ambiguous human opinions, to improve decision-making processes in recycled water. It specifically looks at the application of Sugeno-Weber (SW) triangular norms in the spherical fuzzy (SF) information domain, providing reliable approximations that are necessary for decision-making. A new class of aggregation operators is presented in this paper. These operators are specifically made for spherical fuzzy information systems and include the interval value spherical fuzzy Sugeno–Weber power weighted average (IVSFSWPA), interval value spherical fuzzy Sugeno–Weber power geometric (IVSFSWPWG), and interval value spherical fuzzy Sugeno–Weber power weighted average (IVSFSWPWA). The realistic features and special cases of these operators are demonstrated, highlighting how well they fit into practical scenarios. A new method for multi-attribute decision-making (MADM) is used for a range of real-world applications with different requirements or characteristics. The efficacy of the recommended methodologies is demonstrated with an example of a recycled water selection process. Additionally, a thorough comparison method is provided to show how the suggested aggregation strategies work and are relevant by contrasting their results with those of the current methods. The study's conclusion highlights the potential contribution of the recommended research to the advancement of decision-making techniques in dynamic and complex environments. It also summarizes its findings and discusses its prospects moving forward.
Authors and Affiliations
Mehwish Sarfarz, Darko Božanić
Keywords
Related Articles
- EP ID EP752395
- DOI 10.56578/atams020301
- Views 22
- Downloads 0
Temporal Analysis of Infectious Diseases: A Case Study on COVID-19
Historically, infectious diseases have greatly impacted human health, necessitating a robust understanding of their trends, processes, and transmission. This study focuses on the COVID-19 pandemic, employing mathematical...
Analyzing Impact of Effort, Interest and Cognitive-Competence on Statistics Achievement Through Meditation of Self-Concept Statistics
This investigation was conducted to assess the impact of effort, interest, and cognitive competence on statistics achievement, mediated by self-concept among students. The study engaged 453 students enrolled in a statist...
Stochastic Dynamics and Extinction Time in SIR Epidemiological Models
In the realm of epidemiological modeling, the intricacies of epidemic dynamics are elucidated through the lens of compartmental models, with the SIR (Susceptible-Infectious-Recovered) and its variant, the SIS (Susceptibl...
Demographic Influences on Indigenous Knowledge Practices in Chief Albert Luthuli Municipality
In recent years, a surge in studies concerning indigenous knowledge (IK) has been observed, yet a clear definition of IK remains elusive. Discrepancies in international studies lead to fluid interpretations of the concep...
An Integrated Risk Management Model for Transporting Explosive Remnants of War: A Case Study in the Republic of Serbia
Existing legal and by-law regulations prescribe risk management methodologies for various domains, such as the transportation of hazardous materials, fire and explosion protection, environmental protection, and protectio...