{'fraction_non_alphanumeric': 0.00821917808219178, 'fraction_numerical': 0.0, 'mean_word_length': 5.6454545454545455, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Studies on consistence of the knowledge simplification of an uncertain system

In this paper, we discuss the knowledge redundancy and the knowledge simplification of an uncertain system based on theoretical aspects of rough sets and information entropy. The consistence of analysis on knowledge redundancy and the knowledge simplification is set up. The relationship of information entropy and knowledge significance is drawn on the information dependence of condition attributes and decision condition attributes. A new approach of analysis on knowledge redundancy and the knowledge simplification based on information entropy is presented. The theoretical analysis and the proposed method are validated by some of examples here.