A nonmonotonic-inference integrated framework for decision-making with incomplete information

Nonmonotonic implies multi-extensions, while decision making wants final solution. It's the key problem to apply nonmonotonic theory on decision science. In this article, we try to integrate nonmonotonic formulism and belief revision tool to solve this problem. For this purpose, support tools are selected and improved for design phase and select phase. With their integration, a framework is given to provide effective support for the decision-making under incomplete information.