Evaluating Trust of Accommodation Sharing with Feature Grouping and Combination

被引：0

作者：

Lv W. ^{[1
]}

Zhao J. ^{[1
]}

Huang L. ^{[1
]}

Dong Z. ^{[1
]}

Liang Z. ^{[1
]}

机构：

[1] School of Management, Guangdong University of Technology, Guangzhou

来源：

Data Analysis and Knowledge Discovery | 2022年 / 6卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Accommodation Sharing; Feature Combination; Feature Grouping; Trust Evaluation;

D O I：

10.11925/infotech.2096-3467.2021.1153

中图分类号：

学科分类号：

摘要：

[Objective] This paper tries to improve trust evaluation with feature grouping and combination. The former provides replaceable features while the latter effectively reduces the feature dimensions. [Methods] First, we used the Markov Blanket to analyze the relationship among features based on their abilities to group similar features. Then, we searched within and among groups to combine features with the RVNS methods. [Results] In the case of missing features, the proposed model could effectively provide substitutes for the missing features and yielded stable trust evaluation results. The dimension of features was reduced to 1.7%, and the average accuracy of trust evaluation was above 92%. [Limitations] More research is needed to more effectively extract knowledge from dataset with missing values. [Conclusions] The proposed model could effectively address the missing data in trust evaluation. © 2022, Chinese Academy of Sciences. All rights reserved.

引用

页码：61 / 74

页数：13

共 41 条

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