{'fraction_non_alphanumeric': 0.011131725417439703, 'fraction_numerical': 0.0, 'mean_word_length': 5.506024096385542, '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}}
Logical Interpretation of Discrete Choquet Integral Defined by General Measures

Aggregation of object or action attribute values in the presence of interaction among attributes, is of great practical importance in many fields. A discrete fuzzy Choquet integral is a very promising tool for the interaction modeling, but it allows the modeling of positive interaction and redundancy and their combinations. In this paper, the modeling of logically more complex interaction by Choquet integral is performed using a general discrete measure.