Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data

Table 7

Data of Example 22 (the customer evaluation).

Customer	Transfer times	Congestion	Travel time	Ticket price	Evaluation 𝐸𝑖
1	[0.00,0.00]	[0.00,0.00]	[0.25,0.35]	[1.00,1.00]	[0.15,0.25]
2	[0.25,0.35]	[0.15,0.25]	[0.45,0.55]	[0.55,0.65]	[0.45,0.55]
3	[0.65,0.75]	[0.85,0.95]	[1.00,1.00]	[0.65,0.75]	[0.75,0.85]
4	[0.05,0.15]	[0.00,0.00]	[0.35,0.45]	[0.25,0.35]	[0.10,0.20]
5	[0.45,0.55]	[0.35,0.45]	[0.45,0.55]	[0.55,0.65]	[0.45,0.55]
6	[1.00,1.00]	[0.25,0.35]	[0.75,0.85]	[0.75,0.85]	[0.65,0.75]
7	[0.25,0.35]	[1.00,1.00]	[0.00,0.00]	[1.00,1.00]	[0.45,0.55]
8	[0.85,0.95]	[0.55,0.65]	[0.45,0.55]	[0.65,0.75]	[0.65,0.75]
9	[0.55,0.65]	[0.75,0.85]	[0.15,0.25]	[0.35,0.45]	[0.45,0.55]
10	[0.35,0.45]	[1.00,1.00]	[0.45,0.55]	[0.00,0.00]	[0.35,0.45]
11	[0.75,0.85]	[0.35,0.45]	[1.00,1.00]	[0.25,0.35]	[0.55,0.65]
12	[1.00,1.00]	[0.75,0.85]	[0.65,0.75]	[0.45,0.55]	[0.70,0.80]
13	[0.15,0.25]	[0.55,0.65]	[1.00,1.00]	[0.65,0.75]	[0.45,0.55]
14	[0.00,0.00]	[0.25,0.35]	[0.15,0.25]	[0.85,0.95]	[0.15,0.25]
15	[0.35,0.45]	[0.15,0.25]	[0.75,0.85]	[0.00,0.00]	[0.25,0.35]