{'fraction_non_alphanumeric': 0.016666666666666666, 'fraction_numerical': 0.01904761904761905, 'mean_word_length': 4.467532467532467, '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}}
A Fuzzy Soft Set Theoretic Approach in Decision Making of Covid-19 Risk in Different Regions

In the present paper, we apply the theory of fuzzy soft sets to solve a decision making problem related to Covid-19. We give an example which shows that the method can be successfully applied to the burning problem of Covid-19 that contains uncertainties and find result regarding to the risk of Covid-19 in particular region.