A randomization mechanism for realizing granular models in distributed system modeling

作者：

Highlights：

• The aim is to reflect and quantify the diversity of local knowledge.

• Randomization mechanism is involved in the aggregation mechanism.

• Weighted randomly biased outputs are used to build information granules.

摘要

•The aim is to reflect and quantify the diversity of local knowledge.•Randomization mechanism is involved in the aggregation mechanism.•Weighted randomly biased outputs are used to build information granules.

论文关键词：Granular computing,Prediction interval,The principle of justifiable granularity,Randomization mechanism,Distributed system modeling

论文评审过程：Received 3 May 2021, Revised 9 August 2021, Accepted 10 August 2021, Available online 12 August 2021, Version of Record 28 September 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107376