A New Early Warning Index Selection and Weight Assignment Method for Urban Significant Emergency in Uncertain Environment

In the complex real-life environment, many index values of urban emergency are easily expressed by fuzzy linguistic terms. In this study, we present a new weight assignment approach for the selected warning indexes of urban emergency by using extended fuzzy AHP and the urgent decision-making approach for uncertain urban emergency is then presented. By ranking of the aggregation values of all the warning indexes of urban emergency, we can order the severity of each urban emergency and select the most severe urban emergency. Finally, a numeric example is given to illustrate the application of the presented fuzzy warning index weighting method to the urgent decision-making for uncertain urban emergency involving fuzzy evaluation value.