A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers
The subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was ex...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/25/6/905 |
| _version_ | 1797594909066133504 |
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| author | Sanjib Biswas Aparajita Sanyal Darko Božanić Samarjit Kar Aleksandar Milić Adis Puška |
| author_facet | Sanjib Biswas Aparajita Sanyal Darko Božanić Samarjit Kar Aleksandar Milić Adis Puška |
| author_sort | Sanjib Biswas |
| collection | DOAJ |
| description | The subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was extended further with q-rung orthopair fuzzy (qROF) information and Einstein aggregation for carrying out decision making under uncertainty with imprecise information. Sustainable transportation was selected as the area of application. The current work compared a set of 20 leading EVs in India using the proposed decision-making model. The comparison was designed to cover two aspects: technical attributes and user opinions. For the ranking of the EVs, a recently developed multicriteria decision-making (MCDM) model, the alternative ranking order method with two-step normalization (AROMAN), was used. The present work is a novel hybridization of the entropy method, full consistency method (FUCOM), and AROMAN in an uncertain environment. The results show that the electricity consumption criterion (w = 0.0944) received the greatest weight, while the best ranked alternative was A7. The results also show robustness and stability, as revealed through a comparison with the other MCDM models and a sensitivity analysis. The present work is different from the past studies, as it provides a robust hybrid decision-making model that uses both objective and subjective information. |
| first_indexed | 2024-03-11T02:29:22Z |
| format | Article |
| id | doaj.art-0efff96ab8854e5590c7886a27af45b8 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T02:29:22Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-0efff96ab8854e5590c7886a27af45b82023-11-18T10:18:04ZengMDPI AGEntropy1099-43002023-06-0125690510.3390/e25060905A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy NumbersSanjib Biswas0Aparajita Sanyal1Darko Božanić2Samarjit Kar3Aleksandar Milić4Adis Puška5Decision Science & Operations Management Area, Calcutta Business School, Diamond Harbour Road, Bishnupur Kolkata 743503, West Bengal, IndiaMarketing Area, Calcutta Business School, Diamond Harbour Road, Bishnupur Kolkata 743503, West Bengal, IndiaMilitary Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11040 Belgrade, SerbiaDepartment of Mathematics, National Institute of Technology, Durgapur 713209, West Bengal, IndiaMilitary Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11040 Belgrade, SerbiaDepartment of Public Safety, Government of Brčko District of Bosnia and Herzegovina, Bulevara Mira 1, 76100 Brčko, Bosnia and HerzegovinaThe subject of this research is the evaluation of electric cars and the choice of car that best meets the set research criteria. To this end, the criteria weights were determined using the entropy method with two-step normalization and a full consistency check. In addition, the entropy method was extended further with q-rung orthopair fuzzy (qROF) information and Einstein aggregation for carrying out decision making under uncertainty with imprecise information. Sustainable transportation was selected as the area of application. The current work compared a set of 20 leading EVs in India using the proposed decision-making model. The comparison was designed to cover two aspects: technical attributes and user opinions. For the ranking of the EVs, a recently developed multicriteria decision-making (MCDM) model, the alternative ranking order method with two-step normalization (AROMAN), was used. The present work is a novel hybridization of the entropy method, full consistency method (FUCOM), and AROMAN in an uncertain environment. The results show that the electricity consumption criterion (w = 0.0944) received the greatest weight, while the best ranked alternative was A7. The results also show robustness and stability, as revealed through a comparison with the other MCDM models and a sensitivity analysis. The present work is different from the past studies, as it provides a robust hybrid decision-making model that uses both objective and subjective information.https://www.mdpi.com/1099-4300/25/6/905sustainable transportationelectric vehiclesq-rung orthopair fuzzyentropy methodalternative ranking order method accounting for two-step normalization (AROMAN)Einstein aggregation |
| spellingShingle | Sanjib Biswas Aparajita Sanyal Darko Božanić Samarjit Kar Aleksandar Milić Adis Puška A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers Entropy sustainable transportation electric vehicles q-rung orthopair fuzzy entropy method alternative ranking order method accounting for two-step normalization (AROMAN) Einstein aggregation |
| title | A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers |
| title_full | A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers |
| title_fullStr | A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers |
| title_full_unstemmed | A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers |
| title_short | A Multicriteria-Based Comparison of Electric Vehicles Using q-Rung Orthopair Fuzzy Numbers |
| title_sort | multicriteria based comparison of electric vehicles using q rung orthopair fuzzy numbers |
| topic | sustainable transportation electric vehicles q-rung orthopair fuzzy entropy method alternative ranking order method accounting for two-step normalization (AROMAN) Einstein aggregation |
| url | https://www.mdpi.com/1099-4300/25/6/905 |
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