This risk assessment model is created by knowledge elicitation from the subject matter experts within the airline organization. The model represents risk as a hierarchical decomposition of contributing factors, whose interrelationships are represented by a fuzzy rule set. The decomposition of risk can help to identify those elements that contribute most significantly to the calculated risk and hence allows us to take the necessary mitigating action.
3.2 BASIS OF APPROACH
The civil aviation safety threat assessment system is a knowledge based system. Such systems are a collection of data representing the knowledge of the subject matter (Dym& Levitt 1991; Kandel, 1992). These expert knowledge is expressed as a set of inference rules in the from …show more content…
Technical, Environmental, Human Related Aspects, Socio- Economic Aspects and Government Policies. In our research we represented these factors in a tree construct model which decomposes these risk factors into a hierarchical form. Risk involved with civil aviation is represented as a conceptual hierarchy of risk factors and risk is resolved into its immediate and necessary causal events. This model illustrates how a particular risk is resolved into its constituent parts. In this representation, the decomposed risk category e.g. Technical Risk appear near the top of the hierarchy, while low level data terms such as aircraft velocity, are at the bottom, the most specific part of the …show more content…
In this system each factor is represented by a node and the elements connected to it are called as sub- factors or factor's decomposition. The nodes following the main nodes are referred as child nodes and the nodes having no sub-factors are referred to as leaves. The node above any node is called as its parent node. The main factor which is at the top of the tree, which has no parent, is called the root node. Thus the root node represents the total risk associated with the Civil Aviation.
Each risk factor (node) is related to the causal events (children) using appropriate logics which are linguistic in nature to express the knowledge of subject matter experts in more natural way. They show how the child factors affect the parent factor, and thus allow us to compute the value of parent risk factor using the value of children
3.2 BASIS OF APPROACH
The civil aviation safety threat assessment system is a knowledge based system. Such systems are a collection of data representing the knowledge of the subject matter (Dym& Levitt 1991; Kandel, 1992). These expert knowledge is expressed as a set of inference rules in the from …show more content…
Technical, Environmental, Human Related Aspects, Socio- Economic Aspects and Government Policies. In our research we represented these factors in a tree construct model which decomposes these risk factors into a hierarchical form. Risk involved with civil aviation is represented as a conceptual hierarchy of risk factors and risk is resolved into its immediate and necessary causal events. This model illustrates how a particular risk is resolved into its constituent parts. In this representation, the decomposed risk category e.g. Technical Risk appear near the top of the hierarchy, while low level data terms such as aircraft velocity, are at the bottom, the most specific part of the …show more content…
In this system each factor is represented by a node and the elements connected to it are called as sub- factors or factor's decomposition. The nodes following the main nodes are referred as child nodes and the nodes having no sub-factors are referred to as leaves. The node above any node is called as its parent node. The main factor which is at the top of the tree, which has no parent, is called the root node. Thus the root node represents the total risk associated with the Civil Aviation.
Each risk factor (node) is related to the causal events (children) using appropriate logics which are linguistic in nature to express the knowledge of subject matter experts in more natural way. They show how the child factors affect the parent factor, and thus allow us to compute the value of parent risk factor using the value of children