An integrated expert recommender system approach to environmental service priorities in renewable energy
The purpose of this study is to analyze the investment success of renewable energy generation projects design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | Environmental Research Communications |
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| Online Access: | https://doi.org/10.1088/2515-7620/ad6d3e |
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| author | Serhat Yüksel Hasan Dinçer Ümit Hacıoğlu Jaehyung An Alexey Mikhaylov Zuleima Karpyn |
| author_facet | Serhat Yüksel Hasan Dinçer Ümit Hacıoğlu Jaehyung An Alexey Mikhaylov Zuleima Karpyn |
| author_sort | Serhat Yüksel |
| collection | DOAJ |
| description | The purpose of this study is to analyze the investment success of renewable energy generation projects design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. The main contribution of the paper is that a new methodology (M-SWARA) has been created in this study by making improvements to SWARA. With the help of this new model, causal directions between the indicators can also be examined. Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. This situation is considered as the superiority of the proposed model compared to many previous models in the literature. The findings indicate that cost is the most significant factor for the success of renewable energy investments because it gets the highest weight (.261). The ranking results also demonstrate that product is the most essential component of the service design of renewable energy investments. Therefore, solving the high-cost problem is of vital importance to increase these investments. First, renewable energy companies can reduce costs with more effective financial management. To carry out this process effectively, a finance department consisting of qualified personnel is needed. Thanks to this team, current situations in the financial markets will be better followed and this will play an important role in reducing costs. |
| format | Article |
| id | doaj-art-c3f50ad4edab4c3caeecf07c6eb424b2 |
| institution | Kabale University |
| issn | 2515-7620 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Communications |
| spelling | doaj-art-c3f50ad4edab4c3caeecf07c6eb424b22025-08-20T03:54:01ZengIOP PublishingEnvironmental Research Communications2515-76202024-01-016909500110.1088/2515-7620/ad6d3eAn integrated expert recommender system approach to environmental service priorities in renewable energySerhat Yüksel0Hasan Dinçer1Ümit Hacıoğlu2Jaehyung An3https://orcid.org/0000-0001-5410-7506Alexey Mikhaylov4https://orcid.org/0000-0003-2478-0307Zuleima Karpyn5https://orcid.org/0009-0002-6396-255XThe School of Business, İstanbul Medipol University , İstanbul, Turkey; Department of Economics and Management, Khazar University, Baku, AzerbaijanThe School of Business, İstanbul Medipol University , İstanbul, Turkey; Department of Economics and Management, Khazar University, Baku, Azerbaijan; School of Business, Ibn Haldun University, Istanbul, TurkeySchool of Business, Ibn Haldun University, Istanbul, TurkeyCollege of Business, Hankuk University of Foreign Studies , Seoul, Republic of KoreaFinancial University under the Government of the Russian Federation , Moscow, RussiaWestern Caspian University , Baku, Azerbaijan; Pennsylvania State University —Allentown Campus, Center Valley, United States of AmericaThe purpose of this study is to analyze the investment success of renewable energy generation projects design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. The main contribution of the paper is that a new methodology (M-SWARA) has been created in this study by making improvements to SWARA. With the help of this new model, causal directions between the indicators can also be examined. Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. This situation is considered as the superiority of the proposed model compared to many previous models in the literature. The findings indicate that cost is the most significant factor for the success of renewable energy investments because it gets the highest weight (.261). The ranking results also demonstrate that product is the most essential component of the service design of renewable energy investments. Therefore, solving the high-cost problem is of vital importance to increase these investments. First, renewable energy companies can reduce costs with more effective financial management. To carry out this process effectively, a finance department consisting of qualified personnel is needed. Thanks to this team, current situations in the financial markets will be better followed and this will play an important role in reducing costs.https://doi.org/10.1088/2515-7620/ad6d3eclean energyenergy projectservice designfuzzy logic |
| spellingShingle | Serhat Yüksel Hasan Dinçer Ümit Hacıoğlu Jaehyung An Alexey Mikhaylov Zuleima Karpyn An integrated expert recommender system approach to environmental service priorities in renewable energy Environmental Research Communications clean energy energy project service design fuzzy logic |
| title | An integrated expert recommender system approach to environmental service priorities in renewable energy |
| title_full | An integrated expert recommender system approach to environmental service priorities in renewable energy |
| title_fullStr | An integrated expert recommender system approach to environmental service priorities in renewable energy |
| title_full_unstemmed | An integrated expert recommender system approach to environmental service priorities in renewable energy |
| title_short | An integrated expert recommender system approach to environmental service priorities in renewable energy |
| title_sort | integrated expert recommender system approach to environmental service priorities in renewable energy |
| topic | clean energy energy project service design fuzzy logic |
| url | https://doi.org/10.1088/2515-7620/ad6d3e |
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