Decision in the face of risks: optimization of decision schedule
Abstract
The reasoning schedule leading to the decision making is the same whatever the addressed risks: a set of data to be collected, one or several models to be developed and a decision to be made. This schedule must integrate: (1) data that are uncertain, incomplete, censured, (2) models and decision processes that are imprecise or based on strong hypothesis of models and, (3) economical, political and sociological aspects. Considering the triplet {risks; context of decision making; variety of data, models and decision making}, the following problem directly emerges: what is the best triplet {data; models; decision making} that will allow taking the best decision when faced to risks in a fixed context? Our proposition is a methodology to collect and use at best data in order to obtain a coherent chain of risk analysis. As an illustration, we propose the case study of the service life assessment of building components.
Domains
Civil Engineering
Origin : Files produced by the author(s)
Licence : CC BY - Attribution
Licence : CC BY - Attribution