Clustering Microtremor Data With Fuzzy Gustafson Kessel Algorithm

The analysis of local seismic hazard through the identification of zones with seismically homogeneous behavior is named seismic microzonation. it identifies and characterizes stable zones prone to local amplification of seismic motion and zones prone to seismic hazards. seismic microzonation represents a highly useful tool for seismic prevention and riskassessment in land management, for the design of buildings or structures and for emergency planning. it provides a knowledge base of local seismic hazards in different zones and permits the establishment of hazard hierarchies that may be used to plan seismic risk mitigation measures at various scales. a ground motion prediction is an important key to assess and mitigate the earthquake hazard. there are some factors by which level of strong ground motion is controlled.for this purpose, methods for characterizing site effects is required. it is also required for the study of soil behaviorsduring strong ground shaking. as it has been noticed from many past earthquakes, the major damage to property and manmade structures is mostly found in the region of soft sediments.