Quantification of human error rate in underground coal mines — A fuzzy mapping and rough set based approach

Author

Gupta, Swastik ; Kumar, Pranaw ; Karmakar, Nemai C. ; Palei, Sanjay Kumar

Author_Institution

Dept. of Min. Eng., Indian Inst. of Technol. (BHU), Varanasi, India

fYear

2013

fDate

10-13 Dec. 2013

Firstpage

140

Lastpage

144

Abstract

A precise value of human error rate is imperative to probabilistic safety and risk analysis. Prevailing methods for error quantification are domain specific and provide a crude estimate only. Human error rate (HER) in mines are influenced by the context or performance conditions that are assessed using a set of context describing factors (CDFs). A set of linguistic levels describe the state of the CDFs. An exhaustive set of possible combination of CDFs represent the universal set of context. The relation between context and human error rate can be modeled by mapping the fuzzy set of context to the fuzzy set of HER. The HER of a mine can be estimated from the subjective assessment of CDFs using the concept of rough set.

Keywords

fuzzy set theory; human factors; mining; occupational safety; risk analysis; rough set theory; HER; context describing factors; fuzzy mapping based approach; human error rate quantification; mine safety; probabilistic safety; risk analysis; rough set based approach; subjective CDF assessment; underground coal mines; Accidents; Coal mining; Context; Error analysis; Pragmatics; Reliability; Safety; Human error rate; mines safety; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on

Conference_Location

Bangkok

Type

conf

DOI

10.1109/IEEM.2013.6962391

Filename

6962391