Benchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework

Basit Öğe Kaydı
dc.authorscopusidErfan Babaee Tirkolaee / U-3676-2017
dc.authorwosidErfan Babaee Tirkolaee / 57196032874
dc.contributor.authorSaqib, Muhammad
dc.contributor.authorAshraf, Shahzaib
dc.contributor.authorFarid, Hafiz Muhammad Athar
dc.contributor.authorSimic, Vladimir
dc.contributor.authorKousar, Muneeba
dc.date.accessioned2025-04-18T10:15:49Z
dc.date.available2025-04-18T10:15:49Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe 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.
dc.identifier.citationSaqib, 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.
dc.identifier.doi10.1016/j.asoc.2024.111780
dc.identifier.endpage28
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85194938075
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1016/j.asoc.2024.111780
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7009
dc.identifier.volume162
dc.identifier.wosWOS:001255459200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTirkolaee, Erfan Babaee
dc.institutionauthoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofApplied soft computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectWastewater Treatment Properties and
dc.subjectTechniques
dc.subjectApplied Decision-Making
dc.subjectSchweizer-Sklar Prioritized Aggregation
dc.subjectOperators
dc.subjectComplex Probabilistic Hesitant Fuzzy Soft Sets
dc.titleBenchmarking of industrial wastewater treatment processes using a complex probabilistic hesitant fuzzy soft Schweizer-Sklar prioritized-based framework
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
1-s2.0-S1568494624005544-main.pdf
Boyut:
1.13 MB
Biçim:
Adobe Portable Document Format
Ä°ndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
Ä°sim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
Ä°ndir

Koleksiyon

Endüstri Mühendisliği Bölümü Makale Koleksiyonu