Intelligent Extractive Text Summarization Using Fuzzy Inference Systems

With the growing size of textual information on the world-wide web, automatic data summarization becomes essential for both web users as well as data base and search engine developers. In this paper, we propose a novel approach for extracting the most relevant sentences from an original document to form a summary. The approach utilizes fuzzy measures and inference to find the most significant sentences. Experimental results reveal that the proposed approach extracts the more relevant sentences when compared with two commercially available text summarizers.