Fuzzy logic aggregation of crisp data partitions as learning analytics in triage decisions

作者：

Highlights：

• This paper designs a Fuzzy Logic AGgregation algorithm (FLAG).

• FLAG is based on a combination of concordance indexes.

• FLAG evaluates the ability of nurses to aggregate cases in Triage process.

• The empirical distribution function is derived through permutation method.

摘要

•This paper designs a Fuzzy Logic AGgregation algorithm (FLAG).•FLAG is based on a combination of concordance indexes.•FLAG evaluates the ability of nurses to aggregate cases in Triage process.•The empirical distribution function is derived through permutation method.

论文关键词：Learning analytics,Normalized concordance index,Cognitive heuristics,Permutation testing

论文评审过程：Received 15 August 2019, Revised 13 February 2020, Accepted 1 May 2020, Available online 8 May 2020, Version of Record 27 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113512