Benchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The objective of this research work is to effectively handle the intricate and uncertain nature of decisionmaking in the context of industrial wastewater treatment. The prioritization of wastewater treatment is of utmost importance in order to save the environment, promote human health, ensure adherence to legal regulations, conserve resources, and foster overall sustainability. The demand for efficient and sustainable wastewater treatment processes is increasing globally, but selecting appropriate treatment technologies for industrial effluents is challenging due to its complex nature. Our study aims to provide a systematic framework for evaluating and selecting treatments based on efficacy, affordability, and environmental impact. Aggregation operators are one of the fundamental ideas in the framework of information fusion for addressing reallife problems. Numerous scholars have made significant contributions to the development of aggregation operators specifically designed for multi -parameter decision -making (MPDM) whenever circumstances are characterized by uncertainty. Regrettably, the current operators can only be employed within strict limits and constraints. Therefore, this research formulates novel prioritized aggregation operators that alleviate the restrictive constraints associated with the current operators. After this, we present a new methodology that combines the Schweizer-Sklar prioritized aggregation operators with a complex probabilistic hesitant fuzzy soft framework. For this purpose, we develop the averaging aggregation operators and geometric aggregation operators. Following that, we proceed to examine the theorems and properties associated with them by providing rigorous proofs. Then, we develop a novel decision -making technique with a numerical example based on the wastewater treatment process. Through this novel technique, the best process is the activated sludge process. We perform the validity tests to evaluate the feasibility and effectiveness of MPDM techniques.
Açıklama
Anahtar Kelimeler
Wastewater Treatment Properties and, Techniques, Applied Decision-Making, Schweizer-Sklar Prioritized Aggregation, Operators, Complex Probabilistic Hesitant Fuzzy Soft Sets
Kaynak
Applied soft computing
WoS Q DeÄŸeri
Q1
Scopus Q DeÄŸeri
Q1
Cilt
162
Sayı
Künye
Saqib, M., Ashraf, S., Farid, H. M. A., Simic, V., Kousar, M., & Tirkolaee, E. B. (2024). Benchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework. Applied Soft Computing, 111780.
