Author(s)

Wang Yini

Corresponding Author

Wang Yini

Abstract

In multi-objective decision proplems many values must be assigned, such as the importance of the different objective and the values of the alternatives with respect to subjective objective. In this paper we propose a new construct method of multi-objective decision functions based on genetic programming algorithm, which produces more sTable decision functions than the AHP arithmetic mean used ones. The theoretical expectations are validated by case studies.

Keywords

Genetic programming; GP; Decision functions