The hydroemeteors can be classified by some categories using variables (i.e. reflectivity, differential reflectivity, differential phase, specific differential phase) from the dual-polarization radar and the forecast skill for the extreme weather events will be improved using the hydrometeor classification. Therefore, this study reviewed the fuzzy-logic algorithm of hydrometeor classification that was applied to the system of the S-band dual-polarization radar in Bislsan as work-site operations and verified the hydrometeor classification system using 17 case studies and 40 concentrated case studies for the surrounding areas of Bislsan dual-polarization radar. As the results, even in the case of mixed snow and rain, the hydrometeor classification system can classify weather cases by rain, snow, hail, etc. Especially, the hydrometeor classification system is capable of categorizing the cases as meteorological echoes as well as non-meteorological echoes (i.e. bright band, chaff) with the proper use of dual-polarization variables. Therefore, the fuzzy-logic algorithm for the Bislan S-band dual-polarization radar is effective to classify the hydrometeors by some meteorological categories.