Risk analysis plays a crucial role in mitigating the levels of harm of a risk. In real world scenarios, it is a big challenge for risk analysts to make a proper and comprehensive decision when coping with the risks. Many practical risk analysis problems do not have flexibility with regard to knowledge elicitation and disagreements in the group. This is due to the non-homogeneous nature of risk analysts’ preferences that lead to inconsistent agreements in the process of group decision making. In this proposal, a novel non-homogeneous preference elicitation based on grey numbers for risk analysis problem is proposed. Grey numbers allow more flexibility for non-homogeneous preference elicitation in uncertain, vague and fuzzy environment. This work also introduces a novel theoretical non-homogeneous consensus reaching methodology that resolves disagreements between risk analysts. A case study on group risk analysis decision making is also presented to demonstrate the novelty, validity and feasibility of the proposed methodology.
|Title of host publication||Applying Fuzzy Logic for the Digital Economy and Society|
|Editors||Andreas Meier, Edy Portmann, Luis Terán|
|Publication status||Published - 1 Mar 2019|
|Name||Fuzzy Management Methods|
- grey numbers
- risk management
- fuzzy logic