q-Rung orthopair fuzzy information aggregation and their application towards material selection
Material selection is a complex process that involves selecting the best material for a given application. It is a critical process in engineering, and the importance of selecting the right material for the job cannot be overstated. Multi-criteria decision-making (MCDM) is an important tool that can...
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-06-01
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| Series: | AIMS Mathematics |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2023956?viewType=HTML |
| _version_ | 1827927844550868992 |
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| author | Adel Fahad Alrasheedi Jungeun Kim Rukhsana Kausar |
| author_facet | Adel Fahad Alrasheedi Jungeun Kim Rukhsana Kausar |
| author_sort | Adel Fahad Alrasheedi |
| collection | DOAJ |
| description | Material selection is a complex process that involves selecting the best material for a given application. It is a critical process in engineering, and the importance of selecting the right material for the job cannot be overstated. Multi-criteria decision-making (MCDM) is an important tool that can be used to help engineers make informed decisions about material selection. The logistic function can be extended using the soft-max function, which is widely used in stochastic classification methods like neural nets, soft-max extrapolation, linear differential analysis, and Naïve Bayes detectors. This has inspired researchers to develop soft-max-based fuzzy aggregation operators (AOs) for q-rung orthopair fuzzy sets (q-ROPFS) and to propose an MCDM approach based on these AOs. To test the effectiveness of this approach, the researchers applied it to a practical problem using q-rung orthopair fuzzy data and conducted a numerical example to validate the suggested procedures. |
| first_indexed | 2024-03-13T05:58:47Z |
| format | Article |
| id | doaj.art-3a02c53378ca414fb2633287c6af0e99 |
| institution | Directory Open Access Journal |
| issn | 2473-6988 |
| language | English |
| last_indexed | 2024-03-13T05:58:47Z |
| publishDate | 2023-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj.art-3a02c53378ca414fb2633287c6af0e992023-06-13T01:28:20ZengAIMS PressAIMS Mathematics2473-69882023-06-0188187801880810.3934/math.2023956q-Rung orthopair fuzzy information aggregation and their application towards material selectionAdel Fahad Alrasheedi 0Jungeun Kim1Rukhsana Kausar21. Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia2. Department of Software and CMPSI, Kongju National University, Cheonan 31080, South Korea3. Department of Mathematics, University of the Punjab, Lahore, PakistanMaterial selection is a complex process that involves selecting the best material for a given application. It is a critical process in engineering, and the importance of selecting the right material for the job cannot be overstated. Multi-criteria decision-making (MCDM) is an important tool that can be used to help engineers make informed decisions about material selection. The logistic function can be extended using the soft-max function, which is widely used in stochastic classification methods like neural nets, soft-max extrapolation, linear differential analysis, and Naïve Bayes detectors. This has inspired researchers to develop soft-max-based fuzzy aggregation operators (AOs) for q-rung orthopair fuzzy sets (q-ROPFS) and to propose an MCDM approach based on these AOs. To test the effectiveness of this approach, the researchers applied it to a practical problem using q-rung orthopair fuzzy data and conducted a numerical example to validate the suggested procedures.https://www.aimspress.com/article/doi/10.3934/math.2023956?viewType=HTMLsoft-max functionaggregation operatorsdecision-makingq-rung orthopair fuzzy number |
| spellingShingle | Adel Fahad Alrasheedi Jungeun Kim Rukhsana Kausar q-Rung orthopair fuzzy information aggregation and their application towards material selection AIMS Mathematics soft-max function aggregation operators decision-making q-rung orthopair fuzzy number |
| title | q-Rung orthopair fuzzy information aggregation and their application towards material selection |
| title_full | q-Rung orthopair fuzzy information aggregation and their application towards material selection |
| title_fullStr | q-Rung orthopair fuzzy information aggregation and their application towards material selection |
| title_full_unstemmed | q-Rung orthopair fuzzy information aggregation and their application towards material selection |
| title_short | q-Rung orthopair fuzzy information aggregation and their application towards material selection |
| title_sort | q rung orthopair fuzzy information aggregation and their application towards material selection |
| topic | soft-max function aggregation operators decision-making q-rung orthopair fuzzy number |
| url | https://www.aimspress.com/article/doi/10.3934/math.2023956?viewType=HTML |
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