Knowledge Acquisition Model for Stability Situation Judgement Used in Crowd Evacuation

Abstract

In recent years, people’s demand for data analysis and knowledge acquisition from big data is becoming more urgent. Large-scale crowd evacuation also requires a wealth of decision-making knowledge to provide emergency solution guidance. This paper corresponds the crowd size to the granularity of knowledge objects, and proposes a variablegrained knowledge acquisition model for the evolution mechanism of crowd evacuation stability. The rough set matrix calculation model is used to generate the meta-rules. Through the rigorous discretization of the reversible process analysis logic, the meta-rules are automatically simplified into generalized rules with evacuation guiding significance. The explicit knowledge of stability situation in crowd evacuation is discovered. This study provides a scientific decision-making method for timely and accuratejudgment of the crowd stability, rational organization and guidance of safe evacuation, and also provides scientific basis for the prevention of malignant crowding and trampling events with important theoretical and social significance.