This study outlines a methodological approach to evaluate the environmental risk from integrating data of Aniline in groundwater near to coal-based industries using fuzzy logic, and a comprehensive artificial intelligence approach and the results were validated using conventional risk assessment approach. The Aniline is well-known carcinogenic pollutant released from coal-based industries, so to understand the associated cancer and non-cancer risks (CR and NCR), 15 groundwater samples were analyzed for Aniline, whose concentration was found within the range 0.10-0.34 mg/L, which is up to 68 times higher than the permissible limit. The alkaline pH of water samples resulted in reduced attractive forces between the soil particles with Aniline, and thereby increased percolation of Aniline into the groundwater. Women were at least risk in terms of Mamdani cancer risk (MCR) and Mamdani hazard index (MHI) which was observed up to 1.04E-04 and 3.04, respectively, while maximum MCR and MHI were observed in case of children, i.e., 1.21-E04 and 3.26, respectively. The newly proposed fuzzy inference rule-based Mamdani combined index (MCI) depicts the combined effect of both CR and NCR and was found to be highly correlated with each other. The detailed comparison analysis exhibited that the fuzzy inference rule-based MCI has better resolving ability to find out priority risk prediction over conventional methods under efficient parameter uncertainty control. Hence, it can be concluded that the fuzzy analyses can reflect human considerations and expertise in indices, empowering them to manage nonlinear, questionable, uncertain and subjective data. Therefore, this tool can predict the more meaningful risk estimation of any pollutants on human health.

中文翻译：

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富含苯胺的地下水的癌症与非癌症人类健康风险评估的集成：基于模糊推理系统的方法。

这项研究概述了一种方法学方法，该方法通过使用模糊逻辑整合煤炭工业附近的地下水中苯胺的数据来评估环境风险，并采用了一种综合的人工智能方法，并使用常规风险评估方法对结果进行了验证。苯胺是从煤炭工业中释放出来的著名致癌污染物，因此要了解相关的癌症和非癌症风险（CR和NCR），分析了15个地下水样品中的苯胺，其浓度在0.10-0.34范围内。 mg / L，比允许的极限高68倍。水样品的碱性pH值会降低土壤颗粒与苯胺之间的吸引力，从而增加苯胺向地下水的渗透。就Mamdani癌症风险（MCR）和Mamdani危险指数（MHI）而言，妇女的风险至少为1.04E-04和3.04，而儿童的最大MCR和MHI为1.21。 -E04和3.26。新提出的基于模糊推理规则的Mamdani组合索引（MCI）描绘了CR和NCR的组合效果，并且发现它们之间具有高度相关性。详细的比较分析表明，在有效的参数不确定性控制下，基于模糊推理规则的MCI具有比传统方法更好的分辨优先级风险预测的能力。因此，可以得出结论，模糊分析可以反映人为因素和指数方面的专业知识，使他们能够管理非线性，可疑，不确定和主观的数据。因此，