The document discusses a framework for web information retrieval using automatic multi-document summarization. It proposes using multi-level document summarization to enhance the effectiveness of web information retrieval by supporting indexing and ranking of retrieved documents with an intelligent decision making system based on fuzzy inference rules. The paper tests the approach on CACM test data and finds that information retrieval results can be improved after performing a multi-document summarization process.