Double-quantitative decision rough set over two universes and application to African swine fever decision-making

Abstract

ABSTRACT In order to actively respond to the severe situation of the current African swine fever (ASF) epidemic, this paper proposed a double-quantitative decision rough set method over two universes. First, a double-quantitative decision rough set model over two universes based on compatibility relation is defined. Furthermore, the characteristics of ASF decision-making problems are fully considered, and the ASF decision-making process is transformed into a rough approximation decision problem. Then, we construct a double-quantitative decision rough set application method over two universes based on ASF decision-making problems. The upper and lower approximations of the ASF decision objects are calculated by the double quantification approximation space over two universes, and the positive region of the ASF decision object is given. The model proposes a method of ASF decision-making and the optimal decision rules based on the personal preference information of decision-makers. Finally, the theoretical model is applied to the ASF decision problem to illustrate the application process and its effectiveness of the model constructed in this paper. At the same time, the corresponding decision suggestions for dealing with the actual ASF problem are proposed based on the application results of numerical examples.