灰色理论在人因失误严重度识别模型中的应用

基金项目:

国家自然科学基金资助项目（70573043）和国防科研项目（Z012005A001）

Application of Grey Theory in Identification Model of Human Error Criticality

1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510641, China;
2. Human Factor Institute, Nanhua University, Hengyang Hunan, 421001, China;
3. Hunan Institute of Technology, Hengyang Hunan, 421001, China

摘要: 基于失效模式和影响分析的原理,建立一种由人因失误的模式概率、人因失误的影响概率以及人因失误的后果严重度等级3个决策因子确定的人因失误严重度识别模型。针对直接利用该模型进行人因失误严重度识别难以考虑因子权重的缺陷,本文结合灰色关联理论识别特定情境下的人因失误重要度,为确定人因失误重要度排序及原因提供一种新的思路,克服了3个决策因子在实际中的权重分配问题。
- 人因失误模式 /
- 人因失误影响 /
- 人因失误严重度 /
- 灰色关联理论
Abstract: The identification model for human error criticality is constructed on the basis of the principle of the Failure Mode and Effects Analysis. It consists of three decision-making factors, namely the scale of probability of occurrence of human error mode, the scale of probability of error-effect and the scale of error-consequence criticality. It is difficult to consider the weight of every factor, this paper employs the grey theory to identify the human error criticality, which provides a new viewpoint for the identification of the priority of error criticality and origin, which overcome the problem for the actual weight distribution.
- Human error mode /
- Human error effect /
- Human error criticality /
- Grey relativity theory