ANÁLISE DE MÉTODOS DE SIMILARIDADE EM TABELAS DE DECISÃO ADAPTATIVA COM APLICAÇÃO EM RECOMENDAÇÕES NUTRICIONAIS PARA DOENTES RENAIS CRÔNICOS

Abstract

The information retrieval have been shown to be a technique or great efficiency in decision making process and is used from beginning to end of a process of software development, directly impacting their usability and optimization. There is what one might consider paradigms in a information retrieval, the Classical Model and Retrieval by similarity. The Classical Model makes use of features of logical databases and their query languages, matched against the Information Retrieval by similarity, is based on cases where there are similar attributes for a decision, in this paper we used if this paradigm to analyze and evaluate which method of similarity has a better performance in a nutritional recommendation through a Adaptive Decisio