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It is tremendous to extract the information faster from internet nowadays. There are lots of materials available on the internet and in order to extract the most relevant information, a good mechanism is found to be used. This problem is settled by the Automatic Text Summarization mechanism. Text Summarization is the system of developing a shorter version of the text that involves the relevant information. Text summarization is classified as Extraction and Abstraction. Here this paper targets on the Fuzzy logic approach for processing text summarization. In this paper, the efficient way of summarizing the text document is performed by involving fuzzy logic approach and then evaluation of the result with the rouge scores was calculated. Each sentence is empowered with a position which depends on its significance in the first record. Sentence choice is included by the positions and the outline are produced. The rouge will produce three scores as, Recall, Precision and F-score. F-score is discovered to be the assessment metric for the accuracy of a rundown. The correlation of three distinct synopses by compacting the information record as 1/2, 1/3, 1/4 rouge scores and f-score gives the powerful outcomes towards summarizing the document.