Fuzzy Multicriteria ABC Supplier Classification in Global Supply Chain

Table 1

The weighted aggregated criteria values.

Country	Supplier	Seaport
Brazil	i = 1	Vitoria	(0.162, 0.209, 0.214)	(0.294, 0.352, 411)	(0.182, 0.232, 0.263)
Brazil	i = 2	Vitoria	(0.151, 0.192, 0.201)	(0.294, 0.352, 0.411)	(0.209, 0.256, 0.283)
Brazil	i = 3	Vitoria	(0.154, 0.204, 0.212)	(0.276, 0.341, 0.406)	(0.109, 0.155, 0.202)
Brazil	i = 4	Vitoria	(0.151, 0.192, 0.206)	(0.270, 0.329, 0.388)	(0.073, 0.116, 0.159)
Brazil	i = 5	Vitoria	(0.154, 0.204, 0.212)	(0.346, 0.447, 0.458)	(0.089, 0.132, 0.174)
Brazil	i = 6	Vitoria	(0.151, 0.193, 0.207)	(0.253, 0.317, 0.382)	(0.089, 0.132, 0.175)
Brazil	i = 7	Vitoria	(0.160, 0.20, 0.209)	(0.294, 0.364, 0.406)	(0.051, 0.085, 0.116)
Brazil	i = 8	Saupe	(0.066, 0.099, 0.132)	(0.294, 0.352, 0.411)	(0.139, 0.186, 0.232)
Brazil	i = 9	Vitoria	(0.162, 0.209, 0.215)	(0.311, 0.364, 0.417)	(0.078, 0.124, 0.171)
Brazil	i = 10	Vitoria	(0.160, 0.198, 0.209)	(0.164, 0.235, 0.306)	(0.139, 0.186, 0.232)
Brazil	i = 11	Vitoria	(0.162, 0.209, 0.215)	(0.117, 0.188, 0.258)	(0.167, 0.209, 0.252)
Brazil	i = 12	Vitoria	(0.151, 0.192, 0.206)	(0.341, 0.352, 0.411)	(0.078, 0.124, 0.171)
Brazil	i = 13	Vitoria	(0.129, 0.195, 0.190)	(0.311, 0.364, 0.417)	(0.078, 0.124, 0.171)
Brazil	i = 14	Vitoria	(0.110, 0.143, 0.176)	(0.111, 0.188, 0.259)	(0.139, 0.171, 0.194)
Brazil	i = 15	Santos	(0.063, 0.094, 0.124)	(0.182, 0.115, 0.146)	(0.050, 0.085, 0.139)
Brazil	i = 16	Vitoria	(0.110, 0.143, 0.176)	(0.159, 0.223, 0.288)	(0.054, 0.093, 0.132)
Brazil	i = 17	Vitoria	(0.063, 0.094, 0.124)	(0.094, 0.164, 0.235)	(0.101, 0.139, 0.178)
Brazil	i = 18	Saupe	(0.066, 0.099, 0.132)	(0.118, 0.188, 0.258)	(0.027, 0.054, 0.101)
Brazil	i = 19	Vitoria	(0.099, 0.132, 0.165)	(0.235, 0.317, 0.370)	(0.066, 0.101, 0.155)
Brazil	i = 20	Saupe	(0.041, 0.072, 0.102)	(0.205, 0.270, 0.335)	(0.031, 0.062, 0.112)
China	i = 21	Xiamen	(0.118, 0.154, 0.176)	(0.053, 0.106, 0.188)	(0.140, 0.171, 0.221)
India	i = 22	Chennai	(0.129, 0.165, 0.187)	(0.229, 0.294, 0.358)	(0.089, 0.132, 0.174)
India	i = 23	Chennai	(0.126, 0.165, 0.176)	(0.247, 0.305, 0.364)	(0.089, 0.132, 0.174)
India	i = 24	Mumbai	(0.129, 0.165, 0.187)	(0.30, 0.376, 0.423)	(0.031, 0.062, 0.113)
India	i = 25	Chennai	(0.129, 0.165, 0.187)	(0.317, 0.388, 0.429)	(0.074, 0.116, 0.159)
India	i = 26	Mumbai	(0.041, 0.072, 0.102)	(0.071, 0.117, 0.194)	(0.078, 0.109, 0.159)
India	i = 27	Chennai	(0.019, 0.038, 0.072)	(0.035, 0.070, 0.135)	(0.054, 0.093, 0.132)
Italy	i = 28	Carrara	(0.118, 0.148, 0.179)	(0.253, 0.317, 0.382)	(0.093, 0.139, 0.186)
Italy	i = 29	Carrara	(0.052, 0.082, 0.113)	(0.235, 0.388, 0.429)	(0.050, 0.085, 0.104)
Italy	i = 30	Verona	(0.096, 0.126, 0.157)	(0.235, 0.306, 0.376)	(0.132, 0.171, 0.209)
Italy	i = 31	Carrara	(0.140, 0.176, 0.198)	(0.229, 0.294, 0.358)	(0.132, 0.170, 0.209)
Italy	i = 32	Carrara	(0.074, 0.104, 0.135)	(0.305, 0.40, 0.435)	(0.151, 0.201, 0.232)
Italy	i = 33	Verona	(0.074, 0.104, 0.135)	(0.141, 0.211, 0.282)	(0.046, 0.077, 0.128)
Italy	i = 34	Verona	(0.071, 0.099, 0.126)	(0.088, 0.153, 0.217)	(0.062, 0.093, 0.143)
Portugal	i = 35	Lisboa	(0.060, 0.066, 0.115)	(0.165, 0.235, 0.306)	(0.050, 0.085, 0.140)
Singapore	i = 36	Singapore	(0.085, 0.116, 0.146)	(0.322, 0.411, 0.440)	(0.163, 0.202, 0.240)
Spain	i = 37	Vigo	(0.079, 0.104, 0.115)	(0.223, 0.282, 0.341)	(0.116, 0.155, 0.194)
Spain	i = 38	Porbido	(0.601, 0.088, 0.115)	(0.182, 0.247, 0.288)	(0.035, 0.070, 0.105)
Spain	i = 39	Novelda	(0.074, 0.104, 0.135)	(0,088, 0.153, 0.217)	(0.120, 0.163, 0.205)
Spain	i = 40	Valencia	(0.066, 0.099, 0.132)	(0.065, 0.129, 0.091)	(0.054, 0.078, 0.14)
Taiwan	i = 41	Keelung	(0.118, 0.148, 0.179)	(0.30, 0.376, 0.423)	(0.163, 0.209, 0.236)
Taiwan	i = 42	Keelung	(0.069, 0.094, 0.118)	(0.229, 0.294, 0.358)	(0.097, 0.140, 0.182)