{'fraction_non_alphanumeric': 0.011210762331838564, 'fraction_numerical': 0.0, 'mean_word_length': 4.805194805194805, '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}}
Rules discovery in fuzzy relational databases

We are concerned with the problem of defining a fuzzy dependency in the framework of a fuzzy relational database. Of prime interest is the development of a fuzzy algebra operator, which allows us to store that information in a separated relation with fewer tuples. Its definition can be carried out through a crisp criterion or through a fuzzy one: we study the necessary restrictions for each case.