Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm

Table 2

The initial fuzzy classification system constructed by QiQPSO for Iris.

RU	Input x3			Input x4			C	CF
	Cen	L	R	Cen	L	R
1	1	0	0.9654	0.1	0	0.6548	1	1.0
2	1	0	0.9654	0.7	0.6548	0.6548	1	1.0
3	1	0	0.9654	1.3	0.6548	0.6548	2	0.6842
4	1	0	0.9654	2.4	0.6548	0	1	0.9385
5	2.5	0.9654	0.9654	0.1	0	0.6548	1	1.0
6	2.5	0.9654	0.9654	0.7	0.6548	0.6548	1	1.0
7	2.5	0.9654	0.9654	1.3	0.6548	0.6548	2	0.3335
8	2.5	0.9654	0.9654	2.4	0.6548	0	2	0.3424
9	4.0	0.9654	0.9654	0.1	0	0.6548	2	0.7506
10	4.0	0.9654	0.9654	0.7	0.6548	0.6548	2	1.0
11	4.0	0.9654	0.9654	1.3	0.6548	0.6548	2	0.8935
12	4.0	0.9654	0.9654	2.4	0.6548	0	3	1.0
13	5.9	0.9654	0	0.1	0	0.6548	0	NULL
14	5.9	0.9654	0	0.7	0.6548	0.6548	0	NULL
15	5.9	0.9654	0	1.3	0.6548	0.6548	3	0.7510
16	5.9	0.9654	0	2.4	0.6548	0	3	1.0

RU = rules, Cen = center, L = left width, R = right width, C = classification, and CF = confidence.