Entropy-Based Fuzzy TOPSIS Method for Investment Decision Optimization of Large-Scale Projects

Table 2

Membership and nonmembership contributions in the method of EILIF-TOPSIS.

Schemes	R1	R2	R3	R4	R5	R6	R7	R8	R9
P1	(0.4, 0.1)	(0.3, 0.4)	(0.2, 0.1)	(0.4, 0.4)	(0.2, 0.3)	(0.1, 0.2)	(0.1, 0.2)	(0.4, 0.2)	(0.4, 0.1)
P2	(0.5, 0.5)	(0.1, 0.3)	(0.2, 0.3)	(0.1, 0.1)	(0.4, 0.2)	(0.4, 0.2)	(0.5, 0.3)	(0.3, 0.1)	(0.2, 0.2)
P3	(0.1, 0.5)	(0.4, 0.1)	(0.4, 0.3)	(0.3, 0.4)	(0.3, 0.3)	(0.2, 0.1)	(0.3, 0.1)	(0.2, 0.5)	(0.1, 0.4)
P4	0.5, 0.2)	(0.5, 0.0)	(0.4, 0.1)	(0.3, 0.1)	(0.3, 0.4)	(0.3, 0.5)	(0.4, 0.1)	(0.3, 0.5)	(0.2, 0.2)
P5	(0.3, 0.4)	(0.3, 0.1)	(0.1, 0.1)	(0.4, 0.5)	(0.5, 0.5)	(0.1, 0.1)	(0.4, 0.1)	(0.2, 0.2)	(0.3, 0.5)
P6	(0.3, 0.1)	(0.4, 0.4)	(0.2, 0.2)	(0.5, 0.2)	(0.1, 0.1)	(0.3, 0.4)	(0.4, 0.1)	(0.1, 0.2)	(0.1, 0.1)
P7	(0.1, 0.2)	(0.4, 0.3)	(0.2, 0.5)	(0.3, 0.1)	(0.4, 0.3)	(0.1, 0.3)	(0.1, 0.4)	(0.1, 0.2)	(0.5, 0.3)
P8	(0.3, 0.5)	(0.2, 0.2)	(0.3, 0.2)	(0.1, 0.1)	(0.4, 0.2)	(0.3, 0.5)	(0.2, 0.3)	(0.1, 0.5)	(0.5, 0.4)
P9	(0.5, 0.4)	(0.3, 0.5)	(0.4, 0.3)	(0.1, 0.3)	(0.2, 0.4)	(0.3, 0.1)	(0.1, 0.3)	(0.1, 0.2)	(0.3, 0.3)
P10	(0.5, 0.5)	(0.1, 0.2)	(0.4, 0.1)	(0.1, 0.2)	(0.3, 0.2)	(0.4, 0.2)	(0.4, 0.1)	(0.1, 0.1)	(0.3, 0.2)