{'fraction_non_alphanumeric': 0.017064846416382253, 'fraction_numerical': 0.0, 'mean_word_length': 4.699029126213592, '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}}
Building a decision support system based on fuzzy logic to reduce the total harmful emissions from a fossil fuel boiler or power plant

This article discusses the software implementation using the theory of fuzzy sets. To build the model, we use data on wind direction, wind strength, the distance of residential buildings and the population of the expected area of pollution distribution. To do this, the most critical parameters must be ranked such as size of population. wind speed and wind direction. We will consider them as input data. We use Scilab as the processing environment.