A general model for fuzzy decision tree and fuzzy random forest

2018 ◽  
Vol 35 (2) ◽  
pp. 310-335
Author(s):  
Hui Zheng ◽  
Jing He ◽  
Yanchun Zhang ◽  
Guangyan Huang ◽  
Zhenjiang Zhang ◽  
...  
Keyword(s):  
Random Forest ◽  
Decision Tree ◽  
General Model ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Fuzzy Random

scholarly journals Fuzzy Decision Tree Based Method in Decision-Making of COVID-19 Patients’ Treatment

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3282
Author(s):  
Jan Rabcan ◽  
Elena Zaitseva ◽  
Vitaly Levashenko ◽  
Miroslav Kvassay ◽  
Pavol Surda ◽  
...  
Keyword(s):  
Decision Making ◽  
Random Forest ◽  
Initial Data ◽  
Decision Tree ◽  
Critically Ill ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Fuzzy Classifiers ◽  
Good Interpretation ◽  
Fuzzy Random

A new method in decision-making of timing of tracheostomy in COVID-19 patients is developed and discussed in this paper. Tracheostomy is performed in critically ill coronavirus disease (COVID-19) patients. The timing of tracheostomy is important for anticipated prolonged ventilatory wean when levels of respiratory support were favorable. The analysis of this timing has been implemented based on classification method. One of principal conditions for the developed classifiers in decision-making of timing of tracheostomy in COVID-19 patients was a good interpretation of result. Therefore, the proposed classifiers have been developed as decision tree based because these classifiers have very good interpretability of result. The possible uncertainty of initial data has been considered by the application of fuzzy classifiers. Two fuzzy classifiers as Fuzzy Decision Tree (FDT) and Fuzzy Random Forest (FRF) have been developed for the decision-making in tracheostomy timing. The evaluation of proposed classifiers and their comparison with other show the efficiency of the proposed classifiers. FDT has best characteristics in comparison with other classifiers.

Optimization of integrated fuzzy decision tree and regression models for selection of oil spill response method in the Arctic

2021 ◽  
Vol 213 ◽  
pp. 106676
Author(s):  
Saeed Mohammadiun ◽  
Guangji Hu ◽  
Abdorreza Alavi Gharahbagh ◽  
Reza Mirshahi ◽  
Jianbing Li ◽  
...  
Keyword(s):  
Decision Tree ◽  
Oil Spill ◽  
Regression Models ◽  
The Arctic ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Oil Spill Response ◽  
Response Method ◽  
Selection Of

Induction of fuzzy decision trees and its refinement using gradient projected-neuro-fuzzy decision tree

2014 ◽  
Vol 6 (4) ◽  
pp. 346 ◽  
Author(s):  
Swathi Jamjala Narayanan ◽  
Rajen B. Bhatt ◽  
Ilango Paramasivam ◽  
M. Khalid ◽  
B.K. Tripathy
Keyword(s):  
Decision Tree ◽  
Decision Trees ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Neuro Fuzzy ◽  
Fuzzy Decision Trees
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