Multiresponse Optimization of a Compliant Guiding Mechanism Using Hybrid Taguchi-Grey Based Fuzzy Logic Approach

Table 8

Data of each sequence, difference sequence, grey relational coefficient, and GFRG.

Number	()	()	()	()	()	()	GFRG
1	0.4744	0.5122	0.5256	0.4878	0.4875	0.5062	0.303
2	0.4663	0.5218	0.5337	0.4782	0.4837	0.5111	0.295
3	0.4855	0.4997	0.5145	0.5003	0.4929	0.4999	0.312
4	0.4856	0.5091	0.5144	0.4909	0.4929	0.5046	0.314
5	0.4658	0.5125	0.5342	0.4875	0.4834	0.5063	0.293
6	0.4589	0.5375	0.5411	0.4625	0.4803	0.5195	0.290
7	0.4869	0.5055	0.5131	0.4945	0.4935	0.5027	0.314
8	0.0000	1.0000	1.0000	0.0000	0.3333	1.0000	0.250
9	1.0000	0.0000	0.0000	1.0000	1.0000	0.3333	0.625
10	0.4736	0.5122	0.5264	0.4878	0.4872	0.5062	0.302
11	0.4751	0.5122	0.5249	0.4878	0.4879	0.5062	0.304
12	0.3274	0.6674	0.6726	0.3326	0.4264	0.6005	0.235
13	0.3320	0.6617	0.6680	0.3383	0.4281	0.5964	0.237
14	0.3220	0.6676	0.6780	0.3324	0.4244	0.6007	0.231
15	0.3276	0.6618	0.6724	0.3382	0.4265	0.5965	0.233
16	0.3344	0.6536	0.6656	0.3464	0.4289	0.5907	0.236
17	0.3437	0.6433	0.6563	0.3567	0.4324	0.5836	0.240
18	0.3299	0.6537	0.6701	0.3463	0.4273	0.5908	0.232
19	0.3384	0.6435	0.6616	0.3565	0.4305	0.5837	0.236
20	0.6223	0.3685	0.3777	0.6315	0.5697	0.4419	0.289
21	0.6307	0.3596	0.3693	0.6404	0.5752	0.4384	0.288
22	0.6179	0.3687	0.3821	0.6313	0.5668	0.4420	0.289
23	0.6255	0.3597	0.3745	0.6403	0.5718	0.4385	0.288
24	0.6306	0.3648	0.3694	0.6352	0.5751	0.4404	0.289
25	0.6362	0.3581	0.3638	0.6419	0.5789	0.4379	0.287
26	0.6253	0.3650	0.3747	0.6350	0.5716	0.4405	0.289
27	0.6318	0.3582	0.3682	0.6418	0.5759	0.4379	0.287