In this paper, a new approach is proposed based on the Fuzzy-nearest neighbor model to deal with drought monitoring. According to the Standardized Precipitation Index and via Fuzzy-kNN approach, a method has been presented to predict the most likely drought conditions. In order to appraise the precision of results, the model was applied to monitor the drought status in city of Kerman, located in south east of Iran. The results showed that the area has faced drought and also rainfall shortages in recent years. The calculated values of correlation coefficient, RMSE, CRM and MAE coefficients showed the accuracy and efficiency of the proposed approach.

中文翻译：

---

模糊最近邻法在干旱监测与评估中的应用

本文提出了一种基于模糊近邻模型的干旱监测新方法。根据标准化降水指数并通过模糊-kNN方法，提出了一种预测最可能干旱条件的方法。为了评估结果的准确性，该模型用于监测位于伊朗东南部的克尔曼市的干旱状况。结果表明，该地区近年来面临干旱和降雨短缺。相关系数，RMSE，CRM和MAE系数的计算值表明了该方法的准确性和效率。