A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling

Table 2

Comparison of the optimal objectives.

Case					𝑤1
	0.1	0.2	0.3	0.4	0.5	0.6	0.7	0.8	0.9
Case  1	0.860180	0.860920	0.861390	0.862250	0.863920	0.864470	0.865731	0.865020	0.864170
Case  2	0.889860	0.890440	0.891050	0.892280	0.894240	0.896030	0.895490	0.892661	0.890040
Case  3	0.671015	0.674356	0.678921	0.684357	0.689117	0.693258	0.698091	0.702655	0.705186
Case  4	0.697540	0.698920	0.700130	0.702480	0.706060	0.709138	0.712240	0.714521	0.715390
Case  5	0.730050	0.732160	0.734875	0.737280	0.740856	0.744030	0.747980	0.749721	0.751060
Case  6	0.779810	0.781530	0.784010	0.787903	0.792877	0.797460	0.801130	0.804655	0.806515