Correction to: Co-active neuro-fuzzy inference system model as single imputation approach for non-monotone pattern of missing data

This paper is an addendum to Ref. Neural Computing and Applications (2021) 33:8981–9004 that adds information clarify certain aspects of the models used adding some citations. In this approach based on Co-active Neuro-Fuzzy Inference System named CANFIS-ART proposed automate data imputation procedure. model compared other state-of-the-art techniques such as its baseline Artificial Network statistical methods, using a total eighteen databases exposed perturbation procedure random generation non-monotone missing values pattern. A comparison imputed by these set three classifiers were conducted.