A Novel Distance between Vague Sets and Its Applications in Decision Making

Table 2

4 Classes/12-feature problem and test sample.

Classes		Features
		𝑥1	𝑥2	𝑥3	𝑥4	𝑥5	𝑥6	𝑥7	𝑥8	𝑥9	𝑥10	𝑥11	𝑥12
𝐶1	𝑡𝐶1(𝑥)	0.173	0.102	0.530	0.965	0.420	0.008	0.331	1.000	0.215	0.432	0.750	0.432
	𝑓𝐶1(𝑥)	0.524	0.818	0.326	0.008	0.351	0.956	0.512	0.000	0.625	0.534	0.126	0.432
𝐶2	𝑡𝐶2(𝑥)	0.510	0.627	1.000	0.125	0.026	0.732	0.556	0.650	1.000	0.145	0.047	0.760
	𝑓𝐶2(𝑥)	0.365	0.125	0.000	0.648	0.823	0.153	0.303	0.267	0.000	0.762	0.923	0.231
𝐶3	𝑡𝐶3(𝑥)	0.495	0.603	0.987	0.073	0.037	0.690	0.147	0.213	0.501	1.000	0.324	0.045
	𝑓𝐶3(𝑥)	0.387	0.298	0.006	0.849	0.923	0.268	0.812	0.653	0.284	0.000	0.483	0.912
𝐶4	𝑡𝐶4(𝑥)	1.000	1.000	0.857	0.734	0.021	0.076	0.152	0.113	0.489	1.000	0.386	0.028
	𝑓𝐶4(𝑥)	0.000	0.000	0.123	0.158	0.896	0.912	0.712	0.756	0.389	0.000	0.485	0.912
𝑆	𝑡𝑆(𝑥)	0.978	0.980	0.798	0.693	0.051	0.123	0.152	0.113	0.494	0.987	0.376	0.012
	𝑓𝑆(𝑥)	0.003	0.012	0.132	0.213	0.876	0.756	0.721	0.732	0.368	0.000	0.423	0.897