extraction-based text summarization using fuzzy analysis

due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. in this paperwe present a novel approach for creating text summaries. using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. the approach utilizes fuzzy measures and inference on theextracted textual information from the document to find the most significantsentences. experimental results reveal that the proposed approach extractsthe most relevant sentences when compared to other commercially availabletext summarizers. text pre-processing based on word-net and fuzzy analysisis the main part of our work.