eISSN 2093-744X
pISSN 1598-2645

Table 6

Comparison of FRS to established techniques

Ref	Fault types	Model used	Test samples	Error
[3]	Multi-location faults	Neural networks	-	1
[10]	Multi-location faults	Neural networks	-	1
[11]	Cross-country faults	Neural networks	-	1
[12]	Multi-location faults	FRS	1000	0.5
[13]	Cross-country faults	FRS	20,000	0.41
[14]	Cross-country faults	Support vector machines	14,500	-
[16]	Simultaneous faults	FRS	-	0.4
Proposed FRS	Multi-location faults	FRS	25000	0.25

International Journal of Fuzzy Logic and Intelligent Systems 2021;21:391~400 https://doi.org/10.5391/IJFIS.2021.21.4.391