煤矿井下人为错误率的量化——基于模糊映射和粗糙集的方法

2013 IEEE International Conference on Industrial Engineering and Engineering Management Pub Date : 2013-12-01 DOI:10.1109/IEEM.2013.6962391

Suprakash Gupta, Pramod Kumar, N. C. Karmakar, S. K. Palei

{"title":"煤矿井下人为错误率的量化——基于模糊映射和粗糙集的方法","authors":"Suprakash Gupta, Pramod Kumar, N. C. Karmakar, S. K. Palei","doi":"10.1109/IEEM.2013.6962391","DOIUrl":null,"url":null,"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.","PeriodicalId":6454,"journal":{"name":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"42 1","pages":"140-144"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Quantification of human error rate in underground coal mines — A fuzzy mapping and rough set based approach\",\"authors\":\"Suprakash Gupta, Pramod Kumar, N. C. Karmakar, S. K. Palei\",\"doi\":\"10.1109/IEEM.2013.6962391\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":6454,\"journal\":{\"name\":\"2013 IEEE International Conference on Industrial Engineering and Engineering Management\",\"volume\":\"42 1\",\"pages\":\"140-144\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Industrial Engineering and Engineering Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2013.6962391\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2013.6962391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

人为错误率的精确数值对于概率安全和风险分析是至关重要的。目前流行的误差量化方法是针对特定领域的，只能提供粗略的估计。矿井中的人为错误率(HER)受到使用一组上下文描述因素(CDFs)评估的上下文或性能条件的影响。一组语言层次描述了cdf的状态。一组详尽的可能的cdf组合代表了上下文的通用集。通过将上下文的模糊集映射到HER的模糊集，可以建立上下文与人为错误率之间的关系。利用粗糙集的概念，通过对CDFs的主观评价来估计矿井的HER。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 IEEE International Conference on Industrial Engineering and Engineering Management

自引率

0.00%

发文量