Can fuzzy logic bring complex issues in risk based optimal ranking of hazardous plant sites into focus? A case study

Ashok Deshpande () and Kalyani Sambhoo ()
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Ashok Deshpande: Environmental Management System
Kalyani Sambhoo: Modern College of Arts, Science, Commerce

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 2, No 43, 1079-1089

Abstract: Abstract 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.

Keywords: Thermal power plants; Environmental impact assessment; Fuzzy logic; Bellman–Zadeh method; Risk based optimal ranking (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s13198-017-0572-1

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