煤矿工人死亡人数的模糊逻辑比较分析

IF 1.1 Q3 MINING & MINERAL PROCESSING
Niaz Muhammad Shahani, A. Qureshi
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引用次数: 12

摘要

在这项工作中,我们采用模糊逻辑技术,首次对巴基斯坦2010年至2018年与中国和印度相比,煤矿工人死亡率增加的实际强度进行了适当的分析,目的是尽量减少事故对矿工死亡的影响。与中国和印度相比,巴基斯坦的平均死亡率和年死亡率被用于模糊逻辑技术,以计算死亡率激增的实际灵活性程度。研究结果显示,2011年、2015年和2018年的平均(2010-2018年)死亡率和年死亡率分别为2.44、1.74和1.6。在模糊逻辑技术中,隶属函数(µ)值≥1的变量代表绝对真理。2011年、2015年和2018年的隶属函数值对于煤矿工人的死亡人数来说是惊人的高。同样,除了2014年和2010年,其中0表示绝对错误,其余年份的结果表明,与中国相比,其相应的隶属函数(µ)值具有灵活性(或小范围),如0.623、0.739、0.219、0.173和0.115,以及0.714、0.24、0.01、0.324和0.317,分别使用平均和年度分析。与印度相比,其余年份的模糊逻辑隶属函数(µ)值分别为0.704、0.795、0.386、0.159、0.352、0.306和0.675、0.795、0.386、0.186、0.321、0.322。在模糊集理论的基础上,建立了模糊逻辑分析方法,对巴基斯坦煤矿事故的死亡人数进行了正确的识别,并提出了相应的建议,以减少巴基斯坦煤矿事故的死亡人数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of Coal Miner’s Fatalities by Fuzzy Logic
In this work, we employ the fuzzy logic technique to achieve and present, for the first time, a proper analysis of the actual intensity of the increase in the coal miners’ fatality rates in Pakistan from 2010 to 2018, compared with China and India, with an objective to minimize the impact of incidents on the miners’ fatalities. The average and yearwise fatality rates in Pakistan, compared with China and India, are used for the fuzzy logic technique in order to calculate the actual degree of flexibility for the surging fatalities. The findings show that both the average (2010-2018) and yearwise fatality rates in 2011, 2015, and 2018 are 2.44, 1.74, and 1.6, respectively. In the fuzzy logic technique, the variables whose membership function (µ) values are ≥ 1 represent the absolute truth. The membership function values for the years 2011, 2015, and 2018 are alarmingly high for the fatalities of coal miners. Similarly, except for 2014 and 2010, where 0 represents the absolute falseness, the results for the remaining years indicate high fatality rates with a flexibility (or small extent) of its corresponding membership function (µ) values such as 0.623, 0.739, 0.219, 0.173 and 0.115, and 0.714, 0.24, 0.01, 0.324 and 0.317 using the average and yearwise analysis, respectively, compared with China. Likewise, the fuzzy logic membership function (µ) values compared with India in the remaining years are 0.704, 0.795, 0.386, 0.159, 0.352 and 0.306, and 0.675, 0.795, 0.386, 0.186, 0.321 and 0.322, respectively. The proposed fuzzy logic analysis has been founded based on the theory of fuzzy sets to properly identify the miners’ fatalities, and also to suggest the implementation of appropriate recommendations to reduce the fatalities in the coal mines in Pakistan.
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来源期刊
Journal of Mining and Environment
Journal of Mining and Environment MINING & MINERAL PROCESSING-
CiteScore
1.90
自引率
25.00%
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