Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data

Table 9

Data of Example 27 (The customer evaluation).

Customer	Transfer times	Congestion	Travel time	Ticket price	Evaluation 𝐸𝑖
1	[−0.1,0.00,0.10]	[−0.1,0.00,0.10]	[0.20,0.30,0.40]	[0.90,1.00,1.10]	[0.10,0.20,0.30]
2	[0.20,0.30,0.40]	[0.70,0.80,0.90]	[0.40,0.50,0.60]	[0.50,0.60,0.70]	[0.40,0.50,0.60]
3	[0.60,0.70,0.80]	[0.80,0.90,1.00]	[0.90,1.00,1.10]	[0.60,0.70,0.80]	[0.70,0.80,0.90]
4	[0.00,0.10,0.20]	[−0.1,0.00,0.10]	[0.30,0.40,0.50]	[0.20,0.30,0.40]	[0.05,0.15,0.25]
5	[0.40,0.50,0.60]	[0.30,0.40,0.50]	[0.40,0.50,0.60]	[0.50,0.60,0.70]	[0.40,0.50,0.60]