Evaluating the Coronavirus effects on the Air Force of the Islamic Republic of Iran with R.Graph-TOPSIS methodology

Defense organizations need intelligence to increase their preparedness and agility in the face of various threats and consequences, especially in cases where an event leads to a series of different consequences. One of these intelligent cases is knowing the amount of changes and variables of interest to the organization due to the occurrence of various events. In these cases, awareness of these changes provides managers with appropriate planning to reduce them. There are various methods for scenario analysis and causal chain analysis in the literature that have their strengths and weaknesses. In this study, a scenario analysis framework based on the  R.Graph  and TOPSIS methods was presented to investigate the effects of Coronavirus on the Air Force  Army of the Islamic Republic of Iran (NAHAJA). The results show that due to the Coronavirus the most important among the variables is related to the factor of disruption in skill-based training and the least importance belongs to the total cost variable. Based on these results, decision-makers can establish appropriate policies to reduce these consequences.