Assessment of Human Error Rate in Different Underground Coal Mining Activities Using Rough Set Theory

以粗略集合理論評估不同地下煤礦採礦活動之人為失誤

Suprakash Gupta ； Pramod Kumar

《人因工程學刊》 16卷2期 (2014/11) Pp. 51-63

https://doi.org/10.6273/JES.2014.16(2).01

摘要

人為失誤的評估與預測在概率的安全與風險評估上扮演重要的角色。很不幸，目前並沒有人為失誤分類與量化的一般性方法；現存的方法都是適用特定產業並且僅提供粗略的估計。地下礦產開採具有相當的危險性，採礦活動的人為失誤率的估計對於安全的分析與強化是必要的。本研究在參照系統背景的條件下以認知可靠度與失誤分析方法來評估人為失誤率；研究以模糊關係映像與粗略集合理論來掌握數據分析時已植入的不確定性、脈絡評估、及失誤分類。

關鍵字

人為失誤 ； 關係映像 ； 粗略集合 ； 脈絡描述因子 ； 煤礦

並列摘要

Assessment and prediction of human error rate plays the vital role in the probabilistic safety and risk analysis. Unfortunately no generalized method for human error classification and quantification exist. Prevailing methods are industry specific and give only a rough estimate. Underground coal mining is inherently hazardous and estimation of human error rate for mining activities is mandatory for analysis and enhancement of safety. Present study embraces the cognitive reliability and error analysis method for assessing the human error rate in reference to the system context. The present study captured the embedded uncertainty in data classification, context assessment and error categorization using fuzzy relational mapping and rough set theory.

並列關鍵字

Human Error ； Relational Mapping ； Rough Set ； Context Describing Factor ； Coal Mining