Evaluating the performance of organizations and selecting the right tools and methods for performance evaluation can have a great role in improving their performance. The purpose of this study is to present a method for using data envelopment analysis technique to evaluate performance under the limited number of decision units so that the model can distinguish and rank the decision units more efficiently. To do more precise sorting.The statistical population of the study consisted of secondary schools in Bushehr city. Twelve schools of this statistical population were selected as sample according to licensing assessment and data collection. After studying a number of researches in the field of school performance evaluation, at first indicators were selected and with the opinionof educational experts the selected indicators were categorized. Using statistical methods and decision making techniques, the indices were refined and weighted, which resulted in input and output indices. The schools surveyed were initially evaluated using Data Envelopment Analysis (DEA) techniques, of which were identified as efficient and inefficient. Subsequently, by incorporating the indicators into the Principal Component Analysis (PCA) method and performing the process, the principal components were extracted and put into the DEA technique, evaluating the efficiency and ranking the units. After applying the PCA-DEA integrated model, the number of efficient units was reduced to unit, thus demonstrating the ability of the integrated methodin identifying, separating and differentiating units.Turning to the above, it can be concluded that by applying the PCA-DEA integrated method, the DEA can significantly differentiate between the evaluated units (when the rule is greater than three timesthe sum of inputs). Increased outputs and outputs.