Risk evaluation model for radiation protective countermeasures based on fuzzy entropy weight
On the basis of establishing a risk assessment index system, a model for assessing the risk of radiation protective countermeasures is proposed by introducing a fuzzy mathematics method and entropy weight theory, and the risk order of the radiation protective countermeasures is ranked by their entropy weight coefficients, which solves the decision problem of uncertain and fuzzy indexes in the risk assessment index system and could provide the decision-making basis for commanders in the process of nuclear accident rescue. The illustrative case study shows that the model could use the inherent information of the indexes adequately, and makes risk assessment for radiation protective countermeasures more reasonable, practicable and scientific.
Contour Extraction of Inclusion Image with Mumford-Shah Model
The target contour extraction is one of key questions in computer vision. Because of its intrinsic limitations, the traditional C-V method can not meet the requirements of inclusion image contour extraction. To overcome this shortcoming, this paper introduces image overlay to make some improvements on the C-V methods, which is based on simplified Mumford-Shah, and compares the different contour extraction results caused by traditional method and improved C-V method. The results vindicate the efficiency and feasibility of improved C-V method.
An interactive multiobjective procedure for selecting medium‐term countermeasures after nuclear accidents
This paper presents a methodology for supporting medium-term decisions in the context of nuclear accidents. An interactive procedure based on a multiobjective linear model is introduced, allowing the set of feasible strategies to be explored. This procedure enables the users to express preferences on both criterion values and the structure of the strategies. Additional flexibility is provided by the possibility of integrating evolutive constraints during the decision process.