Research Article

Granular Computing Classification Algorithms Based on Distance Measures between Granules from the View of Set

Table 3

Performance of DGrC on multiclass problems.

Data setsShapes SizeTr (%)Ts (%)Tr (s)Ts (s)

Sensor2Hyperdiamond0.00594899.6798.35161.18750.2031
Hypersphere0.011533899.367498.46151.20310.1406
Hypercube 0.0136599.229998.13193.81250.0938
Hyperbox 0.004156099.94598.2971.20310.71875

Sensor4Hyperdiamond0.019597499.505292.40921.15630.2344
Hypersphere0.0085138799.917591.74920.90630.5938
Hypercube 0.025546698.323390.42902.15630.1563
Hyperbox 0.0076590697.30691.4741.54690.8125

Sensor24Hyperdiamond0.4450215499.642587.80229.21882.7969
Hypersphere0.4450170098.377383.24184.70312.4063
Hypercube 0.1750227699.367475.659310.06253.7969
Hyperbox 0.265271199.6783.1327.54696.4531

OptdigitsHyperdiamond1.99368599.973897.495818.56254.813
Hypersphere2100510098.16362.10942.4063
Hypercube 0.15382310096.32726.578112.2344
Hyperbox 2.1202899.973898.052325.06257.1875

PendigitsHyperdiamond0.62233499.9785697.51295.25002.3281
Hypersphere0.28404110097.91315.00007.5000
Hypercube 0.25207499.973397.51298.85944.2344
Hyperbox 0.64580199.946697.94172.70319.6563

LetterHyperdiamond0.131199310094.66037.015618.2188
Hypersphere0.0651268510094.79533.171928.0469
Hypercube 0.08735010090.29559.234419.9063
Hyperbox 0.51042798.7794.58536.984436.8438

ShuttleHyperdiamond0.0028305299.993199.94484710.255
Hypersphere0.0015334810099.944836.312510.8594
Hypercube 0.00006589599.997799.937958.796931.1250
Hyperbox 0.0025292099.988599.937926.268828.7813