Mining industry's working milieu is influenced by various hazardous factors. Perhaps in Bangladesh, future working environments will be insecure for the lack of congenial methodology to reduce risk factors of Barapukuria Coal Mine (BCM). Many inconsistencies were found in multi-criteria judgment and resolution problems in mine. The study objective is to amplify with Analytic Hierarchy Process (AHP)-Genetic Algorithm (GA) method for solving accidental factors identifying problems in the BCM field. Our promised tactics is for risk appraisement at BCM. We are wary of the methodology for risk factors to identify and secure a thriving way for working with better ambience in mining by including year wise accidental data from 2002 to 2012. Our evaluation framework was described with a widespread three layer that analyzed step by step by Microsoft excel and MATLAB software. The weight value and accuracy of the assigned matrix was calculated for the mentioned AHP-GA method. To enhance efficiency, this paper pretends to resolve a multi-decisional puzzle with intimate connection of AHP-GA from the advantage of MCDM, and minimizes the gap of combining GA with AHP for practical application. AHP-GA technique will perform in a fruitful way both on qualitative and quantitative multi-assessment complex solutions in coal mines. In this study, we have elaborated the application of AHP-GA procedure which surrounds the value to enlarge the better decision local option on mining areas for BCM. Finally, we come into view the BCM safety level is inclined to "General" by our proposed novel setting.