关键词: 地震, 地下工程, 风险体系, 粗集, 遗传算法, 属性约简

Abstract: For such attribute redundancy in earthquake-damaged risk system for underground engineering, a reduction algorithm is proposed for Rough set based on improved genetic algorithm with the prerequisite condition about classification accuracy and key elements. Following the basic principles of the earthquake-damaged risk system design for underground engineering, classification requirements and analysis mechanisms are advanced for earthquake-damaged risk system, and the attribute dependence and importance are described for earthquake-damaged risk system with Rough set method; then, nonlinear optimization model is erected on minimum attribute reduction operations about earthquake-damaged risk system for underground engineering. It translates such model into the searching problem of the best fitness individual in the genetic evolution process, and improves the selection, crossover, mutation and elitist mechanism of genetic populations, which keeps the overall optimization features and faster convergence rate. The simulation result shows that the method can quickly and efficiently determine the minimum reduction about the earthquake-damaged risk system for underground engineering, which establishes a good foundation for the deep application of Rough set method into earthquake-damaged problems for underground engineering.

Key words: earthquake, underground engineering, risk system, Rough set, genetic algorithm, attribute reduction