{'fraction_non_alphanumeric': 0.012903225806451613, 'fraction_numerical': 0.0, 'mean_word_length': 4.965811965811966, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Python Computational Tool Development: implementation and case study of the PROMETHEE I, II and III methods

The paper aims to present an alternative computational tool based on PROMETHEE family methods. Regarding the method, the steps that make up the axiomatic process and the first three extensions of the PROMETHEE method are exposed in detail. The software developed has the purpose to assist the decision maker in the method implementation in a given case, the tool presents a simple algorithm, where its own structure guides the decision maker step by step in the understanding and applying of the PROMETHEE method in a multicriterial problem. The software presents some new features, as the inclusion of PROMETHEE III in a computational tool, and a model of results analysis utilizing three methods simultaneously, by the same data input. A case study is presented to demonstrate the functioning of the tool and the analysis of the results generated by scripts and graphic models. The proposed tool proves to be effective and it can be applied in the academic field, as a form of aid in the learning of the PROMETHEE method with different ways of result analysis, or in organizations, assisting managers in their decision making. The simultaneous application of the three methods to the data in evaluation allows at the same time to make a sensitivity analysis comparing the suggestions.