The Decision Optimization Model for Unconventional Emergency Based on Information Entropy

Abstract

The diversity, randomness, suddeness and disorder are the typical characteristics of the type of complex system such as unconventional emergency. The paper proposes a complexity measurement model Based on information entropy for decision-making assessment and optimization in the light of the complexity problem of the disposal decision-making in unconventional emergency. The Model can contribute to choose the best decisions effectively from the decision-making programs and evaluation system that has been formulated. The experimental analysis and results show that the decision-making assessment method Based on the complexity measurement can help select the better solution from existing programs.