Disaster Evaluation Based On Comprehensive Multi-objective Decision Algorithm Sequence Type

In the research field of emergency management, how can we make a moreobjective assessment is very important. Most scientists establish the disaster assessmentmodel with the Delphi method or some multi-objective decision-making algorithms.However, as the models have certain preference, the results of those models may haveerrors in the practice. Therefore, designing a model which accounts a variety ofassessment algorithm and adds practical needs and deals the time dimension databecomes very important. To deal the problem, the authors propose an integratedassessment model. This model can handle the time disaster data by using dynamictiming method. By using the Delphi method, fuzzy logic algorithm and five differentmulti-objective decision-making algorithms, the model can carry out the assessment ofthe disaster. People can use the model’s results to make the plan. In this article, themodel has the following advantages: Firstly, the model can handle the timing data;Secondly, the model can handle large data sets which are difficult to handle in thetraditional expert models; Thirdly, the model has less systematic errors than the othermodels. The model’s results are balanced results. Fourthly, involved in the text, themodel can fit people’s needs with different preferences of different data sectors in thedifferent time scales. The model uses variety of multi-objective decision-makingalgorithms which can handle the large data set. In the same time, as the disaster attributeweights and the algorithm weights through the fuzzy Delphi method, the model justneeds the numerical data input to do the assessment. In the future, it is easy to mergerthis model with other models for the disaster assessment.