﻿ 基于HFACS的非煤地下矿山人因事故分析

# 基于HFACS的非煤地下矿山人因事故分析Analysis of Human Factors in Underground Non-Coal Mine Accidents Based on HFACS

Abstract: With HFACS model, we summarize 5 first level indexes and 23 second level indexes of human factors in underground non-coal mine accidents. We compare all the indexes by using the analytic hierarchy process (AHP) to describe the weight of each index. Next, we invoke average scoring given by experts to construct judgment matrix and calculate maximum of matrix eigenvalue and consistency index with the help of Matlab; we get a good consistency from analytic hierarchy pro- cess and the weight of each index is reasonable. Whereas, judgment matrix depends on expert’s knowledge, level, personal preferences and some other subjective factors, hence, we plan to improve the construction method of the fuzzy consistent judgment matrix to verify whether the scoring method from the experts accords with the actual situation. Finally, we find that the prior fuzzy matrix given by experts has good consistency and greatly raise the credibility and practicability.

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