Research of Web Text Fuzzy Classification Algorithm Based on Fuzzy Comprehensive Weighted Evaluation Reasoning

Use of fuzzy theory to classify the Chinese WEB text, so that after the web text classification is clearly no longer belong to a class or belonging to a class, but to a certain degree of belonging to various categories of membership. The paper discuss a algorithm of web text fuzzy classification, Calculate method and calculate formula of improve text feature item weight has been proposed. This paper presents a comprehensive evaluation based on fuzzy classification fuzzy reasoning model that weighted fuzzy comprehensive evaluation as a basis to use this article gives an "integrated weighted type" operator, based on a community and the - plot for algebraic reasoning operation, to avoid complex data model, to ensure the accuracy and reliability of inference results, modified weight will help improve the effectiveness of classification