{'fraction_non_alphanumeric': 0.01017293997965412, 'fraction_numerical': 0.0, 'mean_word_length': 5.3896103896103895, '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}}
Evaluating Human Preferences Based Decision Making by Utilizing Fuzzy Technique

Individuals who take decisions are frequently come across with numerous alternatives that are contradictory. Towards assisting people to take optimal decisions, researchers build up new techniques to arrange the preferences of individuals by measuring the relative weights of attributes in the field of multi attribute decision making. For which various approaches and techniques concentrate on fuzzy set. This paper delivers a technique for decision assessment in the area of MADM for practical relevance. Therefore, a multi attribute decision making model has been taken for evaluation process under fuzzy environment. Fuzzy weighted average algorithm is used for the decision making process and weight of the attributes has been analyzed for the ordering of preferences. All these are used to get the exact rating of the alternatives. The rating method eases the process of ranking the alternatives.