基于熵权法的地震应急质量评估体系优化研究OA

Aiming at the structural problems of"experience-dependent weight allocation and insufficient indicator discriminability"in the current earthquake emergency quality evaluation system of the China Earthquake Administration,this paper introduces the entropy weight method to construct an objective and quantitative evaluation model.Using assessment data from 31 provincial earthquake agencies and 141 earthquake monitoring central stations as samples,it systematically analyzes the degree of information contribution and weight distribution characteristics of each indicator.The study identifies 4 core distinguishing indicators at the provincial agency level,such as"organization of regional exercises"and"in-unit tabletop drills",with a cumulative weight of 0.76,as well as 3 key indicators at the central station level,including"tabletop drill summary report"and"basic materials and regional background materials of central stations",with a cumulative weight of 0.62.The innovations of this study are reflected in two aspects:First,it is the first time that the entropy weight method has been systematically applied to the two-level earthquake emergency evaluation system of provincial agencies and central stations,which solves the problem of subjective weight assignment in traditional evaluation;Second,it proposes an evolution idea of the evaluation system featuring"dynamic weight update mechanism+data-driven optimization path",providing methodological support for the iteration of the evaluation system.Based on the results of entropy weight analysis,this paper proposes optimization paths across three dimensions:Indicator system reconstruction,technical process optimization,and management mechanism improvement,including"eliminating non-discriminatory indicators,refining the scoring standards of high-weight indicators,and establishing a data-driven dynamic evaluation mechanism".The research conclusions can directly support the transformation of the earthquake emergency evaluation system from"experience-based judgment"to"data-driven decision-making",and provide a quantitative basis for the precise improvement of national earthquake emergency response capabilities.