Generalized Hybrid Grey Relation Method for Multiple Attribute Mixed Type Decision Making
This work addresses decision-making challenges in domains with mixed data types, but it appears incremental as it combines existing methods without introducing new paradigms.
The paper tackles the problem of multiple attribute mixed type decision making by proposing a generalized hybrid grey relation method that integrates four existing grey incidence approaches and uses weighted Borda method for final arrangement, with an example demonstrating its applicability.
The multiple attribute mixed type decision making is performed by four methods, that is, the relative approach degree of grey TOPSIS method, the relative approach degree of grey incidence, the relative membership degree of grey incidence and the grey relation relative approach degree method using the maximum entropy estimation, respectively. In these decision making methods, the grey incidence degree in four-dimensional Euclidean space is used. The final arrangement result is obtained by weighted Borda method. An example illustrates the applicability of the proposed approach.