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La problemática existente a raíz de la falta de exactitud que se encuentra en los parámetros de entrada en cualquier modelo científi co o físico, puede producir graves consecuencias en la salida del mismo si éste s...

Subjects / keywords: algebraic logic, boolean-valued fuzzy sets, fuzzy model theory, l-fuzzy sets, rough sets, states of fuzzy structures; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics....

Subjects / keywords: fuzzy logic, neural networks, evolutionary and bio-inspired computation, learning theory, probability theory, hybrid methods; Technology: Technology (General): Industrial engineering. Management engineering: Information ...

Prenatal care refers to medical attention that a woman receives to maintain her health and the health of her unborn child. The traditional methods of medical experts in prenatal care advice can sometimes be inadequate an...

Maritime accidents remain a persistent challenge in confined and high-density waterways, where technical, human, environmental, and organizational factors interact. This paper proposes an integrated fuzzy Multi-Criteria ...

Subjects / keywords: Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods

Clustering data by identifying a subset of representative examples is important for processing sensory signals and detecting patterns in data. Such "exemplars" can be found by randomly choosing an initial subset of data ...

Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disci...