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| A New Energy Vehicle Online Recommendation Method Considering the Relationship between Aspiration Strength and Attribute Compensation Relationship |
| XU Chang，ZHAO Meng，MENG Xinyu，ZHAO Xinmiao |
| 1. Northeastern University, Shenyang, China; 2. Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China |
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Abstract Based on consumers’ attribute aspiration, this study combines flexible decision and theory of compensation principle, defines aspiration strength and attribute compensation relationship, clarifies the method of integrating attribute aspiration and aspiration strength, the rules of product attribute compensation, and proposes the online selection method of new energy vehicles considering aspiration strength and attribute compensation relationship. Combining the evidence theory and consumer risk preference, we propose an online ranking method, and realize the online recommendation of vehicles that satisfy aspiration for consumers. The results show that: Compared with the recommendation method that considers the strictly attribute aspiration, the method that considers both aspiration strength and attribute compensation relationship, can avoid the comprehensive cost-effective models being ignored due to the strictly attribute aspiration. Adopting evidential reasoning combined with consumers’ risk preferences to determine model priorities can more accurately recommend new energy vehicles that satisfy personalized aspiration for consumers.
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Received: 21 April 2023
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