Comprehensive evaluation on merchants based on G1 method improved by composite power function

doi:10.11772/j.issn.1001-9081.2016.09.2620

Journal of Computer Applications ›› 2016, Vol. 36 ›› Issue (9): 2620-2625.DOI: 10.11772/j.issn.1001-9081.2016.09.2620

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Comprehensive evaluation on merchants based on G1 method improved by composite power function

LI Zhongxun¹, HUA Jinzhi², LIU Zhen^1,3, ZHENG Jianbin²

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan 611731, China;
2. Institute of Electronic Payment, China UnionPay Corporation Limited, Shanghai 201201, China;
3. Big Data Research Center, University of Electronic Science and Technology of China, Chengdu Sichuan 611731, China

Received:2016-02-02 Revised:2016-03-16 Online:2016-09-10 Published:2016-09-08

基于复合幂函数修正G1法的商户综合评价

李忠洵¹, 华锦芝², 刘震^1,3, 郑建宾²

1. 电子科技大学计算机科学与工程学院, 成都 611731;
2. 中国银联股份有限公司电子支付研究院, 上海 201201;
3. 电子科技大学大数据研究中心, 成都 611731

通讯作者: 刘震
作者简介:李忠洵(1989-),男,四川隆昌人,硕士研究生,主要研究方向:数据挖掘、信息处理与仿真;华锦芝(1979-),男,浙江遂昌人,高级工程师,硕士,主要研究方向:信息安全、大数据;刘震(1976-),男,吉林吉林人,副教授,博士,CCF会员,主要研究方向:智能信息处理、数据挖掘、机器学习;郑建宾(1983-),男,浙江衢州人,工程师,硕士,主要研究方向:大数据、电子支付安全。

Abstract

Abstract: Considering the issue of objective weight overwhelming subjective weight when the subjective weight and objective weight is inconsistent in multi-index evaluation problem, based on G1 method and the objective weighting method, an assembled weighting model combined with G1 method improved by composite power function was proposed. Firstly, an index system was built, and the subjective ranking and subjective initial vector were determined by G1 method. Thus, each objective index vector was calculated by objective weighting method. Secondly, without changing the ranking order, the comprehensive weights integrated with both subjective and objective components were obtained by utilizing composite power function. Lastly, comprehensive evaluation was calculated by using standardized values of indices and comprehensive weights. Merchants data crawled from Dianping.com was adopted for the experiments of comprehensive evaluation. The Root-Mean-Square Error (RMSE) of the new model was 3.891, which is lower than the result of 8.818 obtained by the G1-entropy weighting and the result of 4.752 obtained by the standard deviation improved G1. Meanwhile, the coverage rate obtained by the new model was better than the two baseline models as well. On the other hand, the RMSE obtained by changing subjective ranking order is 5.430, which is higher than the result of 1.17 that obtained by changing subjective initial vector. The experimental results demonstrate that the evaluation values obtained by the new model highly match with the counterparts given by the Dianping.com, and the model can significantly weaken the effect of initial subjective values, which reflects the fundamental status of the subjective ranking.

Key words: multi-index comprehensive evaluation, rank correlation analysis, weight, subjective order, combination of subjective and objective evaluations

摘要： 针对多指标综合评价问题中主客观权重相悖时客观权重淹没主观权重的问题，以G1法和客观赋权法为基础，提出了复合幂函数修正G1法的组合赋权模型。首先，建立指标体系并通过G1法确定各指标主观排序和主观初始向量；然后，利用客观赋权法计算各指标客观向量；其次，在不改变主观排序的情况下利用复合幂函数算出主客观结合的综合权重；最后，利用各指标标准化后的值和综合权重计算综合评价值。采用大众点评网的商户数据进行综合评价实验：该模型的均方根误差（RMSE）为3.891，均低于G1-熵权法的8.818和标准差修正G1法的4.752，且覆盖率优于两种对比方法；分别修改主观初始向量和主观排序进行对比实验，修改主观排序的均方根误差为5.430，高于修改主观初始向量的1.17。实验结果表明，该模型得到的评价值与大众点评网官方的评分的一致性较高，且该模型弱化了主观初值对评分结果的影响，体现了主观排序的基础作用。

关键词: 多指标综合评价, 序关系分析, 权重, 主观排序, 主客观评价结合

CLC Number:

TP311

LI Zhongxun, HUA Jinzhi, LIU Zhen, ZHENG Jianbin. Comprehensive evaluation on merchants based on G1 method improved by composite power function[J]. Journal of Computer Applications, 2016, 36(9): 2620-2625.

李忠洵, 华锦芝, 刘震, 郑建宾. 基于复合幂函数修正G1法的商户综合评价[J]. 计算机应用, 2016, 36(9): 2620-2625.

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Comprehensive evaluation on merchants based on G1 method improved by composite power function

基于复合幂函数修正G1法的商户综合评价

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