RLTD: A Reinforcement Learning-based Truth Data Discovery scheme for decision support systems under sustainable environments

Tingxuan Liang, Lingyi Chen, Mingfeng Huang, Xiaoheng Deng, Shaobo Zhang, Neal N. Xiong, Anfeng Liu

Abstract: Highlights•Propose a trust-based Truth Data Discovery scheme to facilitate data based decision support systems in MCS.•Propose a worker recruitment scheme that reduce the Truth Data Discovery cost in MCS.•Apply data inference to Truth Data Discovery to get high quality data and reduce data collection cost.•Apply reinforcement learning to select the optimal sites to publish data collection tasks.•The proposed scheme outperforms the traditional schemes on data quality and data collection cost.