Table 3 The framework of the outer-layer decision matrix.

From: A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach

 

\({C}_{1}\)

\({C}_{2}\)

\(\cdots\)

\({C}_{n}\)

\({A}_{1}\)

\({s}_{{\alpha }_{11}}\left({p}_{{s}_{11}}\right)\)

\({s}_{{\alpha }_{12}}\left({p}_{{s}_{12}}\right)\)

\(\cdots\)

\({s}_{{\alpha }_{1n}}\left({p}_{{s}_{1n}}\right)\)

\({A}_{2}\)

\({s}_{{\alpha }_{21}}\left({p}_{{s}_{21}}\right)\)

\({s}_{{\alpha }_{22}}\left({p}_{{s}_{22}}\right)\)

\(\cdots\)

\({s}_{{\alpha }_{2n}}\left({p}_{{s}_{2n}}\right)\)

\({\cdots}\)

\({\cdots}\)

\({\cdots}\)

\(\ddots\)

\({\cdots}\)

\({A}_{m}\)

\({s}_{{\alpha }_{m1}}\left({p}_{{s}_{m1}}\right)\)

\({s}_{{\alpha }_{m2}}\left({p}_{{s}_{m2}}\right)\)

\(\cdots\)

\({s}_{{\alpha }_{mn}}\left({p}_{{s}_{mn}}\right)\)