Research Article

Restoration Methods Selection for Wood Components of Chinese Ancient Architectures Based on TODIM with Single-Valued Neutrosophic Sets

Table 7

The aggregated SVNNs-based decision matrix.

CriteriaIndexAlternatives
X1X2X3X4

A1a11<0.719, 0.281, 0.229><0.5, 0.5, 0.45><0.777, 0.223, 0.172><0.465, 0.525, 0.491>
a12<0.761, 0.239, 0.187><0.506, 0.494, 0.442><0.8, 0.2, 0.15><0.545, 0.455, 0.398>
a13<0.704, 0.296, 0.240><0.648, 0.352, 0.298><0.733, 0.267, 0.214><0.262, 0.709, 0.715>
a14<0.625, 0.375, 0.325><0.473, 0.526, 0.476><0.777, 0.223, 0.172><0.453, 0.547, 0.496>
a15<0.625, 0.375, 0.325><0.579, 0.421, 0.370><0.8, 0.2, 0.15><0.159, 0.791, 0.841>
a16<0.191, 0.776, 0.790><0.492, 0.507, 0.456><0.186, 0.782, 0.796><1, 0, 0>

A2a21<0.281, 0.697, 0.690><0.765, 0.235, 0.183><0.534, 0.466, 0.416><0.714, 0.286, 0.232>
a22<0.181, 0.769, 0.819><0.565, 0.435, 0.384><0.413, 0.587, 0.536><0.765, 0.235, 0.183>
a23<0.35, 0.65, 0.6><0.825, 0.175, 0.121><0.456, 0.544, 0.493><0.766, 0.234, 0.169>
a24<0.305, 0.680, 0.658><0.8, 0.2, 0.15><0.5, 0.5, 0.45><0.738, 0.263, 0.210>

A3a31<0.205, 0.756, 0.783><0.627, 0.373, 0.319><0.534, 0.466, 0.416><0.081, 0.869, 0.919>
a32<0.761, 0.239, 0.187><0.623, 0.377, 0.323><0.534, 0.466, 0.416<0.133, 0.817, 0.867>
a33<0.247, 0.720, 0.736><0.707, 0.293, 0.240><0.554, 0.446, 0.395><1, 0, 0>
a34<0.836, 0.164, 0.109><0.589, 0.410, 0.354><0.534, 0.466, 0.416><0.1, 0.85, 0.9>
a35<0.474, 0.526, 0.476><0.579, 0.421, 0.370><0.65, 0.35, 0.3><0.860, 0.140, 0.085>
a36<0.576, 0.424, 0.364><0.612, 0.388, 0.337><0.474, 0.526, 0.476><0.2, 0.75, 0.8>

A4a41<0.825, 0.175, 0.121><0.533, 0.466, 0.416><0.777, 0.223, 0.172><0.701, 0.299, 0.244>
a42<0.857, 0.143, 0.088><0.5, 0.5, 0.45><0.8, 0.2, 0.15><0.608, 0.392, 0.342>
a43<0.886, 0.114, 0.062><0.530, 0.469, 0.418><0.8, 0.2, 0.15><0.625, 0.375, 0.325>