A Genetic Algorithm Method for Optimizing the Fuzzy Component of a Fuzzy Decision Tree

2017 ◽  
pp. 253-282 ◽  
Author(s):  
Cezary Z. Janikow
Keyword(s):  
Genetic Algorithm ◽  
Decision Tree ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Genetic Algorithm Method

Parameter Optimization Based on Genetic Algorithm in the Research of Equivalent Pruning Effect on Fuzzy Decision Tree

2013 ◽  
Vol 756-759 ◽  
pp. 3809-3813 ◽  
Author(s):  
Yan Jun Dong ◽  
Tian Zhen Liu
Keyword(s):  
Genetic Algorithm ◽  
Decision Tree ◽  
Parameter Optimization ◽  
Test Accuracy ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Tree Creation

for a parameter α that played an important role in the course of fuzzy decision tree creation ,there exists a specific interval, within which gradual increasing of the parameter α may have the same effect as the crisp decision tree post pruning on the size and test accuracy, and there exists a optimum value of α within this specific interval, When α gets the value, can make the fuzzy decision tree reach its performance optimal. To obtain α optimum value , this paper proposed a method of optimizing parameter based on genetic algorithm and proved the validity of the method through comparing with the relative experiment.

scholarly journals Genetic algorithm-based neural fuzzy decision tree for mixed scheduling in ATM networks

2002 ◽  
Vol 32 (6) ◽  
pp. 832-845 ◽  
Author(s):  
Chin-Teng Lin ◽  
I-Fang Chung ◽  
Her-Chang Pu ◽  
Tsern-Huei Lee ◽  
Jyh-Yeong Chang
Keyword(s):  
Genetic Algorithm ◽  
Decision Tree ◽  
Atm Networks ◽  
Fuzzy Decision ◽  
Fuzzy Decision Tree ◽  
Neural Fuzzy
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