计算机科学
偏爱
排名(信息检索)
度量(数据仓库)
Choquet积分
人工智能
数据挖掘
理性
模糊逻辑
服务(商务)
编码器
机器学习
情报检索
经济
政治学
法学
经济
微观经济学
操作系统
作者
Jian Wu,Guangyin Zhang,Yumei Xing,Yujia Liu,Zhen Zhang,Yucheng Dong,Enrique Herrera‐Viedma
标识
DOI:10.1007/s10489-023-04485-9
摘要
This paper proposes a method to assist patients in finding the most appropriate doctor for online medical consultation. To do that, it constructs an online doctor selection decision-making method that considers the correlation attributes, in which the measure of attribute correlation is derived from the history real decision data. To combine public and personal preference with correlated attributes, it proposes a Choquet integral based comprehensive online doctor ranking method. In detail, a two stage classification model based on BERT (Bidirectional Encoder Representations from Transformers) is used to extract service features from unstructured text reviews. Then, 2-additive fuzzy measure is adopted to represent the patient public group aggregated attribute preference. Next, a novel optimization model is proposed to combine the public preference and personal preference. Finally, a case study of dxy.com is carried out to illustrate the procedure of the method. The comparison result between proposed method and other traditional MADM (multi-attribute decision-making) methods prove its rationality.
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