Abstract
In this chapter a case study from Jharkhand state in India is presented to demonstrate the quantitative modeling of operational risk using possibility theory. The mathematical modeling is performed through bilevel multiobjective optimization problem in a fuzzy environment. The datasets from iron ore (hematite) mines in the Jharkhand state sets up the computational framework. The risk is calculated using fuzzy subjective value at risk (SVaR) constraints. The sensitivity analysis of the approach is also highlighted. A comparative analysis of the proposed approach with other techniques is also illustrated.
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Chaudhuri, A., Ghosh, S.K. (2016). A Case Study: Iron Ore Mining in India. In: Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory. Studies in Fuzziness and Soft Computing, vol 331. Springer, Cham. https://doi.org/10.1007/978-3-319-26039-6_8
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DOI: https://doi.org/10.1007/978-3-319-26039-6_8
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