Nelson Obregon

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This paper presents a method for analyzing patterns of criminal activity that occur in space and time. The method uses the fuzzy C-means algorithm to cluster criminal events in space. In addition, a cluster reorganization algorithm is included to preserve the order of fuzzy partitions from one time step analysis to another. Order preservation is possible(More)
This paper presents a proposal to model the dynamics of complex systems that can be represented as homogeneous continuous cellular automata. The method includes a homogeneous fuzzy cellular automaton whose representative cell is a Takagi-Sugeno-Kang fuzzy system. This cell is tuned by means of the differential evolution algorithm, which tries to optimize a(More)
In this study, we attempt to offer a solid physical basis for the deterministic fractal–multifractal (FM) approach in geophysics (Puente, Phys Let A 161:441–447, 1992; J Hydrol 187:65–80, 1996). We show how the geometric construction of derived measures, as Platonic projections of fractal interpolating functions transforming multinomial multifractal(More)
This paper compares three computational intelligence techniques applied to the discrimination of environmental situations associated to low air-quality events regarding the concentration of particulate matter with diameter lower than 10 micrometers. The techniques revised in this work are: Naive Bayesian Classification, Support Vector Machines and Fuzzy(More)
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