Adaptive-analytical comparison of the vulnerability of the urban tissues against earthquake using the models of hierarchical analysis and fuzzy (The case study: Lamerd City)

Due to being located on one of the two earthquake belts and existence of plenty of faults, earthquake in the Iranian plateau is natural. Iran is among the ten nations disasterprone and is the world's sixth of the earthquake. Earthquake caused the most human deaths in Iran, the threat which has large financial losses for the country. To deal with the mentioned issue, we have to secure buildings and settlements in towns and villages. For construction and buildings resistance, due to the limited financial resources, in the first instance, methods and techniques should be used which make the managers and officials able to estimate and assess the vulnerability of the settlements and prioritize the urban tissues against earthquake. This evaluation and prediction makes the official's planning oriented and prevents losses of human and financial resources. The purpose of this research is to answer to this question that the use of which technique and method can offer the most appropriate and accurate picture of measure of vulnerability against earthquake. Methods used in this study are descriptive-analytical through deploying multivariate models of fuzzy and hierarchical analysis, Evaluation of vulnerability of mold tissues in Lamerd has been taken. The results of this study indicated that fuzzy multivariate method has higher capacity than hierarchical analysis in identification of urban vulnerable tissues. It was determined that in multivariable fuzzy model, the highest vulnerability is related to high- damaged situation (more than 38%) and in the hierarchical analysis, the most vulnerability is related to average – damaged situation (more than 43%).