An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral
Given that existing methods for recommending electricity sale packages primarily consider scenarios where customers are familiar with all package attributes, they overlook psychological factors, attribute correlations, and the determination of attribute weights during decision-making. To address the...
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/24/11905 |
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| author | Yufei Wu Lifan Qiu Yuanqian Ma |
| author_facet | Yufei Wu Lifan Qiu Yuanqian Ma |
| author_sort | Yufei Wu |
| collection | DOAJ |
| description | Given that existing methods for recommending electricity sale packages primarily consider scenarios where customers are familiar with all package attributes, they overlook psychological factors, attribute correlations, and the determination of attribute weights during decision-making. To address these limitations, this paper proposes a recommendation method for electricity sale package based on prospect strengths and weaknesses degree and the Choquet integral. The details are as follows: Firstly, a label system for evaluating electricity sale packages and customer clustering is utilized to identify similar customers to a new customer. Secondly, a set of similar customers is identified, and N similar customers are selected as experimental customers. Their decision-making information is aggregated using the Choquet integral to construct a customer group decision-making matrix. Next, to account for customers’ psychological risk preferences, the Prospect Theory is integrated into the preference difference function of the classical Superiority–Inferiority Ranking method, resulting in the degree of prospect strengths and weaknesses. Building on this, and addressing the challenges of attribute correlation and weight determination, a model is constructed using the Choquet integral and comprehensive attribute weights. This model ranks electricity sale packages based on the degree of prospect strengths and weaknesses, capturing the differences between various schemes through the prospect strengths and weaknesses flow. The ranking of packages for recommendation is then derived from this flow. Finally, a case analysis is conducted with customers in a western Zhejiang region in China to verify the accuracy and effectiveness of the proposed recommendation method. |
| format | Article |
| id | doaj-art-3d7eaecd275f49c688b948ca08372e0c |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-3d7eaecd275f49c688b948ca08372e0c2024-12-27T14:08:43ZengMDPI AGApplied Sciences2076-34172024-12-0114241190510.3390/app142411905An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet IntegralYufei Wu0Lifan Qiu1Yuanqian Ma2School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaSchool of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaSchool of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaGiven that existing methods for recommending electricity sale packages primarily consider scenarios where customers are familiar with all package attributes, they overlook psychological factors, attribute correlations, and the determination of attribute weights during decision-making. To address these limitations, this paper proposes a recommendation method for electricity sale package based on prospect strengths and weaknesses degree and the Choquet integral. The details are as follows: Firstly, a label system for evaluating electricity sale packages and customer clustering is utilized to identify similar customers to a new customer. Secondly, a set of similar customers is identified, and N similar customers are selected as experimental customers. Their decision-making information is aggregated using the Choquet integral to construct a customer group decision-making matrix. Next, to account for customers’ psychological risk preferences, the Prospect Theory is integrated into the preference difference function of the classical Superiority–Inferiority Ranking method, resulting in the degree of prospect strengths and weaknesses. Building on this, and addressing the challenges of attribute correlation and weight determination, a model is constructed using the Choquet integral and comprehensive attribute weights. This model ranks electricity sale packages based on the degree of prospect strengths and weaknesses, capturing the differences between various schemes through the prospect strengths and weaknesses flow. The ranking of packages for recommendation is then derived from this flow. Finally, a case analysis is conducted with customers in a western Zhejiang region in China to verify the accuracy and effectiveness of the proposed recommendation method.https://www.mdpi.com/2076-3417/14/24/11905prospect strengths and weaknesses degreeChoquet integralelectricity sale packageelectricity sale company |
| spellingShingle | Yufei Wu Lifan Qiu Yuanqian Ma An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral Applied Sciences prospect strengths and weaknesses degree Choquet integral electricity sale package electricity sale company |
| title | An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral |
| title_full | An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral |
| title_fullStr | An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral |
| title_full_unstemmed | An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral |
| title_short | An Electricity Sale Package Recommendation Method Based on Prospect Strengths and Weaknesses Degree and Choquet Integral |
| title_sort | electricity sale package recommendation method based on prospect strengths and weaknesses degree and choquet integral |
| topic | prospect strengths and weaknesses degree Choquet integral electricity sale package electricity sale company |
| url | https://www.mdpi.com/2076-3417/14/24/11905 |
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