Tunneling Operation Risks Rating Using Linear Assignment Method

Due to increasingly important risk factors associated with projects, the importance and complexity of rating operations in the risk management process is increasing. Linear allocation is a multi-standard decision-making method that utilizes the advantages of hard skill and soft skill to more realistically evaluate multiple factors and is an important feature of this method. Therefore, this study demonstrated the function of this method using the risk factors of the Golab water tunnel. To that end, we use the group's decision making procedures and weighted sums to gather opinions from experts, summarize them, and perform risk classification by linear allocation.

More mature methods to quantify operational risk are linear models such as time series models, econometrics models, empirical insurance mathematical models, extreme theory. Due to the complex interaction between data limitation and operational risk variables, various nonlinear methods have been proposed, one of which is the Bayesian network. Using an ideal example of a virtual online business, Cowell, Verrall, and Yoon (2007) have built a Bayesian network that models various risk factors and their combinations as an overall loss distribution. Using this model, the authors developed an established Bayesian network approach based on (1) posterior marginal distribution based on evidence forming variables, (2) simulation scenario, (3) parameters using data update model, and 4) real time Comparison between quantitative model prediction and actual data

Due to increasingly important risk factors associated with projects, the importance and complexity of rating operations in the risk management process is increasing. Linear allocation is a multi-standard decision-making method that utilizes the advantages of hard skill and soft skill to more realistically evaluate multiple factors and is an important feature of this method. Therefore, this study demonstrated the function of this method using the risk factors of the Golab water tunnel. - Creative Generation is defined as the process of expressing market and stock behavior as an operational model or specific trading idea and includes gathering information from various trusted sources to create useful conclusions. Creativity is what we do everyday and a very important aspect in life. It can happen in various situations from work to entertainment.