Open AccessResearch on Fuzzy Adaptive Intelligent Decision-making in Complex Environment
Author(s) -
Xiaofeng Sun,
Qinyuan Li,
Changhua Sun
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/5/052085
Subject(s) - decision engineering , r cast , decision support system , intelligent decision support system , computer science , business decision mapping , evidential reasoning approach , decision analysis , adaptation (eye) , decision field theory , management science , process (computing) , dynamic decision making , complex adaptive system , optimal decision , fuzzy logic , decision making , artificial intelligence , decision tree , engineering , mathematics , statistics , physics , operations management , purchasing , optics , operating system
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.