基于组合赋权方法的用户购车倾向评价

Evaluation on Car Purchase Tendency for Users Based on Combination Weighting Method

为准确快速地衡量用户的购车倾向,提出一种基于主客观组合赋权的用户购车倾向评价方法。利用多赋权法的兼容性特点保证指标权重的合理性并减少组合权重数量,根据购车倾向与已购车事件的相关性特点,基于真实购车用户数据构造理想点并修正指标权重,以提高购车倾向评价的准确性。实验结果表明,与传统理想点法和未经筛选直接加权的方法相比,该方法可在降低运算复杂度的同时,提高评价效果的准确性。

In order to accurately evaluate the user's car purchase tendency,an evaluation method on car purchase tendency based on the subjective and objective combination weighting is proposed.The compatibility of multi-weighting method is used to ensure the rationality of index weights and reduce the number of combined weights.According to the correlation characteristics between the car purchase tendency and the purchased car event,the real car user data is used to construct the ideal point,and the index weight is corrected to improve the car purchase tendency evaluation performance.Experimental results show that compared with traditional ideal point method and unscreened direct weighting method,the computational complexity of the method is reduced and the accuracy of the evaluation effect is improved.