Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment
Environmentally friendly technology is being used by industries all over the world, and engineers in the manufacturing and materials industry are embracing sustainable business models. In this paradigm, materials are processed using economically and environmentally sound methods. The use of microwav...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Cleaner Materials |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772397624000200 |
| _version_ | 1797257621773746176 |
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| author | M. Saeed R. Sami Ul Haq S. Ahmed F. Siddiqui N. Mateen K.A. Ahmed J.B. Yi Dragan Pamučar |
| author_facet | M. Saeed R. Sami Ul Haq S. Ahmed F. Siddiqui N. Mateen K.A. Ahmed J.B. Yi Dragan Pamučar |
| author_sort | M. Saeed |
| collection | DOAJ |
| description | Environmentally friendly technology is being used by industries all over the world, and engineers in the manufacturing and materials industry are embracing sustainable business models. In this paradigm, materials are processed using economically and environmentally sound methods. The use of microwave-absorbing materials (MAMs) in low-altitude observatory aircraft and the rise in electromagnetic pollution have brought them to light. The main aim of this study is to select an ideal MAM with excellent physical, electromagnetic, chemical, and thermal properties, which also fulfills sustainability aspects based on expert judgments. In this regard, we have proposed a new hybrid framework consisting of Modified Digital Logic (MDL), a subjective weighting method in combination with the measurement of alternatives and ranking according to compromise solution (MARCOS) under an interval-valued intuitionistic fuzzy (IVIF) environment to select an optimum MAM. Furthermore, this research work contributes to streamlining the selection process by consolidating the plethora of work available in the literature on the synthesis and characterization of MAMs. A database is created for 160 potential candidate materials in C, S, X, and Ku bands for carbon-based materials, including carbon nanotubes (CNT), graphene, reduced graphene oxide (rGO), carbon fibers, and biomass-derived materials. These materials are then passed through successive screening stages to shortlist 14 materials, which are ranked subsequently over a set of 15 crisp and ambiguous criteria. This comprehensive study simultaneously caters to quantitative and qualitative information extracted from experimental work, material resource packs, or expert evaluations. The findings highlight CNT/Fe (20 wt%, E) (Al1) as the most suitable candidate for MAM application with outstanding electromagnetic properties. Finally, the results are compared with extant approaches to check the reliability of the proposed framework. In addition, sensitivity analysis is carried out to establish the feasibility and robustness of the obtained results. |
| first_indexed | 2024-04-24T22:40:33Z |
| format | Article |
| id | doaj.art-7cde4456d1a9448199b0fd964681355c |
| institution | Directory Open Access Journal |
| issn | 2772-3976 |
| language | English |
| last_indexed | 2024-04-24T22:40:33Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Materials |
| spelling | doaj.art-7cde4456d1a9448199b0fd964681355c2024-03-19T04:19:26ZengElsevierCleaner Materials2772-39762024-03-0111100236Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environmentM. Saeed0R. Sami Ul Haq1S. Ahmed2F. Siddiqui3N. Mateen4K.A. Ahmed5J.B. Yi6Dragan Pamučar7Aerospace and Aviation Campus, Air University, Kamra, PakistanAerospace and Aviation Campus, Air University, Kamra, PakistanAerospace and Aviation Campus, Air University, Kamra, Pakistan; Corresponding author.Aerospace and Aviation Campus, Air University, Kamra, PakistanAerospace and Aviation Campus, Air University, Kamra, PakistanAerospace and Aviation Campus, Air University, Kamra, PakistanGlobal Innovative Centre for Advanced Nanomaterials, School of Engineering, The University of Newcastle, Callaghan, NSW 2308 AustraliaDepartment of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, SerbiaEnvironmentally friendly technology is being used by industries all over the world, and engineers in the manufacturing and materials industry are embracing sustainable business models. In this paradigm, materials are processed using economically and environmentally sound methods. The use of microwave-absorbing materials (MAMs) in low-altitude observatory aircraft and the rise in electromagnetic pollution have brought them to light. The main aim of this study is to select an ideal MAM with excellent physical, electromagnetic, chemical, and thermal properties, which also fulfills sustainability aspects based on expert judgments. In this regard, we have proposed a new hybrid framework consisting of Modified Digital Logic (MDL), a subjective weighting method in combination with the measurement of alternatives and ranking according to compromise solution (MARCOS) under an interval-valued intuitionistic fuzzy (IVIF) environment to select an optimum MAM. Furthermore, this research work contributes to streamlining the selection process by consolidating the plethora of work available in the literature on the synthesis and characterization of MAMs. A database is created for 160 potential candidate materials in C, S, X, and Ku bands for carbon-based materials, including carbon nanotubes (CNT), graphene, reduced graphene oxide (rGO), carbon fibers, and biomass-derived materials. These materials are then passed through successive screening stages to shortlist 14 materials, which are ranked subsequently over a set of 15 crisp and ambiguous criteria. This comprehensive study simultaneously caters to quantitative and qualitative information extracted from experimental work, material resource packs, or expert evaluations. The findings highlight CNT/Fe (20 wt%, E) (Al1) as the most suitable candidate for MAM application with outstanding electromagnetic properties. Finally, the results are compared with extant approaches to check the reliability of the proposed framework. In addition, sensitivity analysis is carried out to establish the feasibility and robustness of the obtained results.http://www.sciencedirect.com/science/article/pii/S2772397624000200CarbonSustainable Microwave Absorbing MaterialsMulti-Criteria Decision MakingOpen DatabaseInterval-Valued Intuitionistic FuzzyMARCOS |
| spellingShingle | M. Saeed R. Sami Ul Haq S. Ahmed F. Siddiqui N. Mateen K.A. Ahmed J.B. Yi Dragan Pamučar Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment Cleaner Materials Carbon Sustainable Microwave Absorbing Materials Multi-Criteria Decision Making Open Database Interval-Valued Intuitionistic Fuzzy MARCOS |
| title | Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment |
| title_full | Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment |
| title_fullStr | Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment |
| title_full_unstemmed | Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment |
| title_short | Sustainable selection of microwave absorbing materials: A green evaluation under interval-valued intuitionistic fuzzy environment |
| title_sort | sustainable selection of microwave absorbing materials a green evaluation under interval valued intuitionistic fuzzy environment |
| topic | Carbon Sustainable Microwave Absorbing Materials Multi-Criteria Decision Making Open Database Interval-Valued Intuitionistic Fuzzy MARCOS |
| url | http://www.sciencedirect.com/science/article/pii/S2772397624000200 |
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