高校实验室安全韧性评价及障碍因子诊断  

Assessment of safety resilience of university laboratories and diagnosis of barrier factors

作　　者：瞿英[1] 李晨旭 张斌[1] 杨梅[1] QU Ying;LI Chenxu;ZHANG Bin;YANG Mei(School of Economics and Management,Hebei University of Science and Technology,Shijiazhuang 050018,China)

机构地区：[1]河北科技大学经济管理学院,河北石家庄050018

出　　处：《实验技术与管理》2025年第3期219-225,共7页Experimental Technology and Management

基　　金：河北省社会科学基金项目(HB24ZT018)。

摘　　要：为有效反映高校实验室安全韧性的动态演进特征,规避因偏差评价导致的风险误判问题,该文基于韧性动态演进的抗逆力、恢复力和适应力过程属性,构建安全韧性评价指标体系,采用改进物元模型测度韧性水平,结合贴近度理论和等级特征指数获取韧性动态演进趋势,并进行障碍因子诊断,客观测度韧性演进水平。该文以某高校实验室为实例对模型进行验证,并将改进模型与传统物元、元模型和优劣解距离法进行对比,验证了改进模型的有效性。结果表明该实验室整体安全韧性等级为Ⅲ级“一般韧性”,但有偏向于Ⅱ级“较弱韧性”的演进趋势,与现实情况吻合。该模型可以直观反映韧性动态演进趋势,为高校实验室制定安全韧性演化控制措施提供参考。[Objective]Current research on resilience measurement of university laboratories faces several issues,such as the neglect of coupling relationships between indicators,the loss of evaluation information,the inability to capture the dynamic evolution trend of resilience,and strong subjectivity in identifying barrier factors.To address these issues,this study integrates the analytic network process(ANP),the matter-element extension model(MAT),and the obstacle degree theory to develop a safety resilience assessment framework for university laboratories based on an improved MAT model.This approach can enhance the accuracy of the assessment results and obtain the dynamic evolution trend of resilience and the barrier factors that impede the improvement of resilience,thereby providing a reference for formulating safety resilience evolution control measures for university laboratories.[Methods]This study constructs a safety resilience evaluation index system based on the process attributes of resilience dynamic evolution,including 3 primary indicators,7 secondary indicators,and 24 tertiary indicators.To fully utilize the process information,avoid the loss of evaluation information,and reflect the randomness and ambiguity of its boundaries,this study develops a complete improved MAT model.First,the index weights are obtained through the integration of subjective and objective information based on the ANP and queuing algorithms,effectively reducing the influence of subjective factors while reflecting the coupling relationships among indicators.Then,the classic domain matter elements and the matter elements to be evaluated are normalized to ensure the proper application of the model.Subsequently,the asymmetric proximity theory is employed to replace the maximum membership degree principle to improve the MAT model,avoiding information loss when determining the evaluation levels under the maximum membership degree criterion.Finally,the level bias characteristic index is calculated to obtain the trend of resilience dynamic evol

关 键 词：韧性演进 改进物元模型 贴近度 障碍因子 

分 类 号：X948[环境科学与工程—安全科学]