Smart Technologies for Water Sewage Systems and Decision-Making with Circular Spherical Fuzzy Framework

Abrar Hussain; Kifayat Ullah; Zeeshan Ali; Oumaima Saidani

doi:10.67334/cds21202615

Authors

Abrar Hussain 1) College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China; 2) College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China Author https://orcid.org/0000-0003-2289-7464
Kifayat Ullah 1) Department of Mathematics, Riphah International University (Lahore Campus), Lahore, Pakistan; 2) Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India Author https://orcid.org/0000-0002-1438-6413
Zeeshan Ali Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan Author https://orcid.org/0009-0002-3443-2840
Oumaima Saidani Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia Author https://orcid.org/0000-0001-9520-3174

DOI:

https://doi.org/10.67334/cds21202615

Keywords:

Circular spherical fuzzy set, Frank’s aggregation operators, Water sewage system, WASPAS method, MADM, Decision support system

Abstract

Smart technologies play a significant role in the management of sewage and drainage systems by improving operational efficiency, particularly in critical situations. In modern cities, water distribution networks, drainage systems, and wastewater treatment plants face increasing pressure due to rapid urbanization and population growth. Selecting advanced smart technologies for the effective management of sewage and drainage systems requires an efficient decision-making framework capable of evaluating multiple technological alternatives against conflicting criteria. In this context, the circular spherical fuzzy set (Cir-SFS) provides an effective framework for handling uncertainty and ambiguity in complex real-world decision-making problems. This study extends the theoretical concept of Frank algebraic operations within the circular spherical fuzzy (Cir-SF) environment. Furthermore, a family of robust aggregation operators, including the Cir-SF Frank Weighted Average (Cir-SFFWA) and Cir-SF Frank Weighted Geometric (Cir-SFFWG) operators, is developed. The weighted aggregate sum product assessment (WASPAS) method is also extended under the Cir-SF environment to address multi-criteria decision-making (MCDM) problems. An illustrative numerical example is presented to demonstrate the applicability and effectiveness of the proposed methodology in ranking smart technologies based on multiple conflicting criteria. Finally, comparative and sensitivity analyses are conducted to verify the robustness, consistency, and superiority of the proposed approach over existing decision-making methods.

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References

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