Research on Fuzzy Adaptive Intelligent Decision-making in Complex Environment

Abstract

Decision-making is an extremely complex proposition. Especially with the development of economy, the progress of science and technology and the acceleration of global integration. All walks of life are facing an increasingly complex and changing environment, and decision-making problems are becoming more and more complex. In complex environments, decision-making is made by multiple stakeholders on the basis of increasingly updated self-confidence and repeated discussions. Enterprise-level decision support system is much more complex than individual decision in decision environment, decision process and decision support technology. Multi-objective intelligent decision making is a difference and multi-objective optimization problem. Based on quantitative mathematical models, intelligent decision-making systems lack corresponding support methods for qualitative, fuzzy and uncertain problems in decision-making. Based on the complex adaptation theory, this paper constructs an adaptive intelligent decision support system. The adaptive decision process is analyzed. It is proved that the decision-making platform based on adaptive intelligent decision theory can help decision makers to provide effective decision-making in complex environments.