{'fraction_non_alphanumeric': 0.010115606936416185, 'fraction_numerical': 0.0, 'mean_word_length': 5.537735849056604, '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}}
DEPENDENCE ANALYSIS AND REDUCTION ON THE NUMBER OF JUDGMENTS APPLIED TO AN INFORMATION TECHNOLOGY DECISION PROBLEM WITH THE ANALYTIC NETWORK PROCESS

Summary : This paper presents the multiple criteria modeling for an Information Technology decision problem. There are presented two multiple criteria models to evaluate different alternatives for the implementation of one Enterprise Resources Planning module. The first model was developed with the Analytic Hierarchy Process. From this model, the Analytic Network Process was applied in order to include the analysis of dependence among elements of the model. Some alternatives to reduce the number of required judgments are also presented.