A new local distace-based outlier detection approach for fuzzy data by vertex metric

The way of searching For outlier data based on distance is one of the attractive study in data mining during recent two decades, due to the wide range ofapplications, has been always investigated. But this wide scope has been limited to certain data, while the valuable ability of fuzzy data in analyzing and applying has beenproven. Considering the effective performance of LDOF method as a distance based approach in identifying outlierdata, the almost this article is to use the famous vortexmetric, to provide a universalization of LDOF method for identifying outlier dataset of fuzzy data. Also performanceand efficiency of the proposed method has been investigated in simulation.