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Palabra clave: “...Fuzzy logic;...”

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Descripción: “...A proposal is presented in this article from the mathematical modeling for the selection of suppliers, involving fuzzy logic in the decision process, so it can be treated in the best possible way this uncertainty both in subjective judgments of qualitative elements, as information is not always accurate quantitative elements.ResumoNo ambiente competitivo de hoje, é não só necessário gerenciar efetivamente atividades internas das organizações, mas sim garantir as entradas do sistema. ...”

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Descripción: “...This paper shows the versatility of a methodology that solves multi-objective linear problems, formulated with fuzzy coefficients. This conception becomes an alternative in contrast with the hard methodologies predominant in Operations Research, since the fuzzy approach allows the decision-maker to make uncertain assumptions both for the formulation and solution of optimization problems.Keywords: Fuzzy logic, multi-criteria analysis, triangular fuzzy numbers.ResumenLos conjuntos difusos y específicamente los números difusos constituyen una manera efectiva de incluir la incertidumbre en la formulación y solución de problemas lineales de optimización multiobjetivo. ...”

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Descripción: “...The integration of pre-trained models and fuzzy logic provided adaptability and responsiveness to dynamic traffic scenarios. ...”

Descripción: “...These data contain valuable information that can be used to improve the  competitiveness  of institutions owners of these data.The information  to discover can have many forms,  among  them associative  rules or groups of denominated  sets (Cluster), if to this we add the capacity that  has the Fuzzy Logic of breaking up with the third  excluded principle and to allow the relevancy from an element to several Cluster, we have a quite useful methodology when classifying in sets the content of the database.associative  rules or groups of denominated sets (Cluster), if to this we add the capacity that  has the Fuzzy Logic of breaking up with the third  excluded principle and to allow the relevancy from an element to several Cluster, we have a quite useful methodology when classifying in sets the content of the databases.In this paper is shown the implementation  of an  algorithm denominated C -Means for the grouping of data in fuzzy sets, this it has been implemented with the development of a  denominated program  (Software  Mining Data Fuzzy) SM2D 1.21.0  Beta.Key words: Data Bases (BD), Fuzzy Sets, Cluster, C-Means, Data Mining. ...”