Trust and personalized individual semantics based fusion method for heterogeneous multi-criteria group decision making and application to live streaming commerce

作者：

Highlights：

• Trust relationships among recommenders are applied in fusion method.

• Personalized individual semantics of trustor and recommenders are considered.

• A new definition of harmony degree based on heterogeneous opinions is proposed.

• The weights of other recommenders for a recommender are determined from four aspects.

• The comprehensive weights of criteria consider subjective and objective information.

摘要

•Trust relationships among recommenders are applied in fusion method.•Personalized individual semantics of trustor and recommenders are considered.•A new definition of harmony degree based on heterogeneous opinions is proposed.•The weights of other recommenders for a recommender are determined from four aspects.•The comprehensive weights of criteria consider subjective and objective information.

论文关键词：Heterogeneous multi-criteria group decision making,Personalized individual semantics,Trust relationship,Jenson-Shannon divergence

论文评审过程：Received 21 March 2022, Revised 28 June 2022, Accepted 11 July 2022, Available online 16 July 2022, Version of Record 1 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118151