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Table 3 FBWM’H results and final fuzzy weights of criteria

From: A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye

 

Ex#1

Ex#2

Ex#3

Ex#4

w1

(0.166, 0.173, 0.230)

(0.236, 0.280, 0.280)

(0.206, 0.249, 0.283)

(0.265, 0.265, 0.281)

w2

(0.222, 0.224, 0.255)

(0.070, 0.087, 0.087)

(0.072, 0.082, 0.097)

(0.122, 0.186, 0.186)

w3

(0.061, 0.061, 0.069)

(0.052, 0.058, 0.058)

(0.058, 0.058, 0.065)

(0.066, 0.081, 0.081)

w4

(0.194, 0.194, 0.230)

(0.122, 0.156, 0.162)

(0.203, 0.255, 0.286)

(0.065, 0.099, 0.127)

w5

(0.091, 0.132, 0.148)

(0.084, 0.100, 0.103)

(0.137, 0.155, 0.181)

(0.120, 0.210, 0.238)

w6

(0.091, 0.132, 0.163)

(0.122, 0.156, 0.162)

(0.096, 0.122, 0.136)

(0.055, 0.055, 0.061)

w7

(0.068, 0.079, 0.067)

(0.149, 0.192, 0.192)

(0.072, 0.082, 0.082)

(0.105, 0.121, 0.157)

 

Ex#5

Ex#6

Final weights with the Heronian function

 

w1

(0.162, 0.223, 0.223)

(0.220, 0.230, 0.265)

(0.203, 0.229, 0.253)

 

w2

(0.195, 0.223, 0.223)

(0.276, 0.276, 0.308)

(0.161, 0.181, 0.194)

 

w3

(0.051, 0.057, 0.069)

(0.149, 0.161, 0.192)

(0.073, 0.080, 0.090)

 

w4

(0.087, 0.130, 0.148)

(0.078, 0.106, 0.130)

(0.124, 0.154, 0.178)

 

w5

(0.064, 0.074, 0.091)

(0.062, 0.066, 0.085)

(0.092, 0.122, 0.140)

 

w6

(0.058, 0.067, 0.069)

(0.078, 0.080, 0.094)

(0.079, 0.097, 0.109)

 

w7

(0.220, 0.248, 0.248)

(0.062, 0.062, 0.071)

(0.110, 0.126, 0.132)

 
  1. Ex# denotes expert, while w denotes weight