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利用模糊逻辑算法,结合大气辐射测量项目（ARM）中国寿县移动观测站3mm云雷达（WACR）资料,进行了云中水凝物相态垂直分布的反演研究。根据Shupe[3]总结得到的不同相态水凝物粒子对应的毫米波雷达反射率、Doppler平均速度、谱宽以及温度的阈值,建立了基本形式为不对称的T型函数的模糊逻辑识别的隶属函数,并根据不同相态粒子的散射特性和几何形状等增加了关于退偏振比的隶属函数。然后根据建立的隶属函数利用寿县站的3mm云雷达资料进行水凝物相态垂直分布的反演研究。结果表明：利用模糊逻辑法处理偏振3mm雷达测量到的参量,可以识别云中粒子相态,反映云的相态结构,识别结果基本合理,但是T型函数系数的选取还需要进一步研究。“,”The distribution of hydrometeor phase is the basis factor for determining the water content of cloud and precipitation.By using the WACR data from ARM Mobile Facility（AMF）,Shouxian,China,the hydrometeor phase vertical distribution is retrieved with fuzzy logic algorithm.First,the membership functions of fuzzy logic method for reflectivity,Doppler mean velocity,spectral width and the temperature are established by the threshold of Shupe[3],and the asymmetric trapezoidal membership function is chosen as the form of the membership functions,the depolarization ratio membership function is established by scattering characteristics and geometric shape of different kinds of hydrometeor.Then,the vertical phase distribution of hydrometeor is retrieved by these established membership function with Shouxian WACR data.The main conclusions are got as follows：the more accurate results can be acquired with MPL data for thin cloud layer,but in deep cloud case the polarization information of WACR is helpful to improve the precision of retrieval.We can get the distribution of hydrometeor phase using the data of 3 mm radar with fuzzy logic algorithm,the results are reasonable,but the choose of T-function coefficient need further research.