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首页> 外文期刊>International journal of systems assurance engineering and management >Can fuzzy logic bring complex issues in risk based optimal ranking of hazardous plant sites into focus? A case study
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Can fuzzy logic bring complex issues in risk based optimal ranking of hazardous plant sites into focus? A case study

机译：模糊逻辑是否可以使基于风险的危险工厂站点的最佳排序中的复杂问题成为关注焦点？案例研究

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摘要

Selection of sites for the installation of hazardous plants in general and thermal power plants in particular, has assumed significant importance due to excessive air pollution load. Coal-fired power based thermal plants which generate 41% of the world's electricity are a major source of local pollution and health hazard. It is therefore, important to decide suitable sites for these plants with low risk levels based on formalised mathematical techniques. In this paper, realizing uncertainty in parametric data, authors used fuzzy logic based formalisms, wherein goal in combination with constraints is considered as fuzzy multi constraint optimization problem. The study concludes with identifying optimal ranking of nine thermal power plants in India with 'low risk' potential. The limitations of this study have also been outlined.
机译：由于空气污染负荷过大，选择危险场所（一般是火力发电厂）的地点非常重要。燃煤火力发电厂占世界电力的41％，是当地污染和健康危害的主要来源。因此，重要的是要根据正规的数学技术为这些低风险水平的植物确定合适的地点。在本文中，为实现参数数据的不确定性，作者使用了基于模糊逻辑的形式主义，其中目标与约束相结合被认为是模糊多约束优化问题。该研究以确定具有“低风险”潜力的印度九座火力发电厂的最佳排名作为结论。还概述了这项研究的局限性。

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