Evaluation of Various Industry Safety Systems Under Imprecise Environment

Abstract

Various safety measures in nuclear power plants, the mining industry, the oil and gas industry, and so on have become crucial for controlling environmental pollution and human healthhazards. Good precautionary safety strategies can help safeguard all the workers involved in nuclearpower plants, the mining industry, the oil and gas industry, etc., from catastrophic accidentsand significantly protect the environment from uncertain risks. Several studies have recently beenconducted on safety on nuclear power plants, the mining sector, the oil and gas business, and otherareas. The safety system of an industry is a complex phenomenon, and many factors, such as humanoperations error, human-machine interaction, assessment of prospective risk, and evaluationof reliability and engineering resilience, are involved, which are inherently imprecise in nature. Thus, analyzing the industry safety model system in an imprecise environment is very realistic. In reality, in many situations, it was observed that the collected data were insufficient and transmitted some misinformation. In such situations, incorporating fuzzy numbers offers better results. Although few studies have been carried out on mining safety model systems (MSMS), oil and gas(OnG) industry safety model systems, nuclear power plant safety model systems (NPPSMS) in fuzzy (FS) environments, but it has not been accomplish in intuitionistic (IFS), neutrosophic (NS), type-2 fuzzy (T2FS), picture fuzzy (PIFS) environments. newlineIn this thesis, we have mathematically described the MSMS model system, the OnG industry safety model system, the NPPSMS model system in terms of imprecise differential equations. We havethoroughly examined and discussed both analytically and numerically the solution of the system considering the underlying model parameter as an imprecise number. We have also focused onfinding out the robust acceptable solution of the above-mentioned safety model systems. newlineOur thesis will greatly influence and encourage upcoming researchers and practitioners. This