Evaluation of Various Industrial Safety Systems Under Imprecise Environment

Abstract

Various safety measures in nuclear power plants, the mining industry, the oil and gas indus newlinetry, and so on have become crucial for controlling environmental pollution and human health newline hazards. Good precautionary safety strategies can help safeguard all the workers involved in nu newlineclear power plants, the mining industry, the oil and gas industry, etc., from catastrophic accidents newline andsignificantly protect the environment from uncertain risks. Several studies have recently been newline conductedonsafetyonnuclearpowerplants,theminingsector,theoilandgasbusiness,andother newline areas. The safety system of an industry is a complex phenomenon, and many factors, such as hu newlinemanoperations error, human-machine interaction, assessment of prospective risk, and evaluation newline of reliability and engineering resilience, are involved, which are inherently imprecise in nature. newline Thus, analyzing the industry safety model system in an imprecise environment is very realistic. In newline reality, in many situations, it was observed that the collected data were insufficient and transmit newlineted some misinformation. In such situations, incorporating fuzzy numbers offers better results. newline Although few studies have been carried out on mining safety model systems (MSMS), oil and gas newline (OnG) industry safety model systems, nuclear power plant safety model systems (NPPSMS) in newline fuzzy (FS) environments, but it has not been accomplish in intuitionistic (IFS), neutrosophic (NS), newline type-2 fuzzy (T2FS), picture fuzzy (PIFS) environments. newline Inthis thesis, wehavemathematicallydescribedtheMSMSmodelsystem,theOnGindustrysafety newline model system, the NPPSMS model system in terms of imprecise differential equations. We have newline thoroughly examined and discussed both analytically and numerically the solution of the system newline considering the underlying model parameter as an imprecise number. We have also focused on newline f newline inding out the robust acceptable solution of the above-mentioned safety model systems. newline Our thesis will greatly influence and encourage upcoming researchers and practitioners. This