Name
Abstract | ||
|---|---|---|
The purpose of this paper is to introduce a way to deal with uncertainties in risk analysis. Risk analysis is a key process in security management in that its result provides a decision-basis for safeguard implementation. However, it must often rely on speculation, educated guesses, incomplete data, and many unproven assumptions. Users of risk analysis often provide their uncertain subjective opinions as input values to risk analysis. Therefore, the consideration of uncertainties in input data should be made when performing a risk analysis. As a tool for expressing and dealing with uncertainties in input data, we suggest the use of belief functions. Weprovide examples of how to use belief functions in qualitative risk analysis methods. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45600-7_14 | ICICS |
Keywords | Field | DocType |
security management,input data,key process,incomplete data,risk analysis,uncertain subjective opinion,belief function,input value,belief functions,weprovide example,qualitative risk analysis method | Speculation,Computer science,Qualitative risk analysis,Risk analysis (business),Operations research,Risk matrix,Risk analysis (engineering),Safeguard,Risk management,Missing data,Security management,Distributed computing | Conference |
ISBN | Citations | PageRank |
3-540-42880-1 | 0 | 0.34 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungbaek Cho | 1 | 1 | 0.78 |
| Zbigniew Ciechanowicz | 2 | 8 | 1.93 |