Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model
As global median temperatures continue to rise, the demand for active cooling systems (ACs) is increasing. These systems are particularly prevalent in developed countries for maintaining comfort during hot weather. Various ACs technologies are available, and assessing their performance in multi-pers...
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2024
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my.uniten.dspace-339512024-10-14T11:17:30Z Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model Albahri O.S. Alamoodi A.H. Deveci M. Albahri A.S. Mahmoud M.A. Sharaf I.M. Coffman D.M. 57201013684 57205435311 55734383000 57201009814 55247787300 17435789800 56603101200 2-Tuple linguistic pythagorean fuzzy sets Climate change FWZIC Household energy consumption Integrated active cooling systems MABAC Cooling Cooling systems Decision making Energy utilization Linguistics Sensitivity analysis Thermoelectric equipment 2-tuple linguistic 2-tuple linguistic pythagorean fuzzy set Active cooling Fuzzy Decision making FWZIC Household energy consumption Integrated active cooling system MABAC Multi-perspective Performance criterion climate change cooling decision making energy use fuzzy mathematics household energy multicriteria analysis Climate change As global median temperatures continue to rise, the demand for active cooling systems (ACs) is increasing. These systems are particularly prevalent in developed countries for maintaining comfort during hot weather. Various ACs technologies are available, and assessing their performance in multi-perspective settings is necessary to determine the best option for intended usage. This requires an evaluation platform for assessment. This paper presents a novel multi-criteria decision-making (MCDM) model based on a new integrated 2-tuple linguistic Pythagorean fuzzy-weighted zero-inconsistency (2 TLP-FWZIC) and modified 2-tuple linguistic Pythagorean fuzzy multi-attributive border approximation area comparison (2TLPF-MABAC). The former is used to determine the importance of assessment criteria, while the latter is employed for selecting the optimal ACs using the obtained weights. The first-level weighting results reveal that performance criteria were predominantly favored for assessment, with �energy performance� acquiring the most significant weight (0.2487) among all performance criteria. In terms of ACs selection results, among the 20 tested and assessed systems, the �geothermal borehole electricity-based ACs� obtained the highest score value (0.1296), while the �window packaged electricity-based ACs� had the lowest score (-0.0515). The robustness of the results was confirmed through sensitivity analysis. � 2023 The Authors Final 2024-10-14T03:17:30Z 2024-10-14T03:17:30Z 2023 Article 10.1016/j.enpol.2023.113775 2-s2.0-85168122494 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168122494&doi=10.1016%2fj.enpol.2023.113775&partnerID=40&md5=da7ba68a57226209272287224545328f https://irepository.uniten.edu.my/handle/123456789/33951 182 113775 All Open Access Green Open Access Hybrid Gold Open Access Elsevier Ltd Scopus |
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2-Tuple linguistic pythagorean fuzzy sets Climate change FWZIC Household energy consumption Integrated active cooling systems MABAC Cooling Cooling systems Decision making Energy utilization Linguistics Sensitivity analysis Thermoelectric equipment 2-tuple linguistic 2-tuple linguistic pythagorean fuzzy set Active cooling Fuzzy Decision making FWZIC Household energy consumption Integrated active cooling system MABAC Multi-perspective Performance criterion climate change cooling decision making energy use fuzzy mathematics household energy multicriteria analysis Climate change |
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2-Tuple linguistic pythagorean fuzzy sets Climate change FWZIC Household energy consumption Integrated active cooling systems MABAC Cooling Cooling systems Decision making Energy utilization Linguistics Sensitivity analysis Thermoelectric equipment 2-tuple linguistic 2-tuple linguistic pythagorean fuzzy set Active cooling Fuzzy Decision making FWZIC Household energy consumption Integrated active cooling system MABAC Multi-perspective Performance criterion climate change cooling decision making energy use fuzzy mathematics household energy multicriteria analysis Climate change Albahri O.S. Alamoodi A.H. Deveci M. Albahri A.S. Mahmoud M.A. Sharaf I.M. Coffman D.M. Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| description |
As global median temperatures continue to rise, the demand for active cooling systems (ACs) is increasing. These systems are particularly prevalent in developed countries for maintaining comfort during hot weather. Various ACs technologies are available, and assessing their performance in multi-perspective settings is necessary to determine the best option for intended usage. This requires an evaluation platform for assessment. This paper presents a novel multi-criteria decision-making (MCDM) model based on a new integrated 2-tuple linguistic Pythagorean fuzzy-weighted zero-inconsistency (2 TLP-FWZIC) and modified 2-tuple linguistic Pythagorean fuzzy multi-attributive border approximation area comparison (2TLPF-MABAC). The former is used to determine the importance of assessment criteria, while the latter is employed for selecting the optimal ACs using the obtained weights. The first-level weighting results reveal that performance criteria were predominantly favored for assessment, with �energy performance� acquiring the most significant weight (0.2487) among all performance criteria. In terms of ACs selection results, among the 20 tested and assessed systems, the �geothermal borehole electricity-based ACs� obtained the highest score value (0.1296), while the �window packaged electricity-based ACs� had the lowest score (-0.0515). The robustness of the results was confirmed through sensitivity analysis. � 2023 The Authors |
| author2 |
57201013684 |
| author_facet |
57201013684 Albahri O.S. Alamoodi A.H. Deveci M. Albahri A.S. Mahmoud M.A. Sharaf I.M. Coffman D.M. |
| format |
Article |
| author |
Albahri O.S. Alamoodi A.H. Deveci M. Albahri A.S. Mahmoud M.A. Sharaf I.M. Coffman D.M. |
| author_sort |
Albahri O.S. |
| title |
Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| title_short |
Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| title_full |
Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| title_fullStr |
Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| title_full_unstemmed |
Multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| title_sort |
multi-perspective evaluation of integrated active cooling systems using fuzzy decision making model |
| publisher |
Elsevier Ltd |
| publishDate |
2024 |
| _version_ |
1814061159294173184 |
| score |
13.222552 |