Julio Gutiérrez-Ríos

Technologies for constructing intelligent systems: Tasks

Fundamental Issues in Uncertainty.- Epistemology probabilized.- Stochastic independence for upper and lower probabilities in a coherent setting.- Qualitative possibilistic independence based on plausibility relations.- Independence concepts for belief functions.- Conditional possibility and necessity.- The membership problem for probabilistic and data dependencies.- Belief functions induced by randomized communication channels.- Quantifying the correlation between two interval-valued random sets.- How information measure changes due to unreliability.- Aggregation Methods.- On the aggregation of some classes of fuzzy relations.- Ordinal sums of aggregation operators.- Aggregation principle in the theory of nonlinear PDE.- Approximation of membership functions and aggregation operators using splines.- The ordered weighted geometric operator: properties and application in MCDM problems.- On dominance and dispersion of a class of weighting lists.- Fuzzy Sets.- On the definition of coherence measure for fuzzy sets.- Characterizing k-additive fuzzy measures.- Design of Takagi-Sugeno controllers using piecewise constant functions and a normalized fuzzification transform.- Fuzzy temporal rules: A rule-based approach for fuzzy temporal knowledge representation and reasoning.- On a new method to T-transitive fuzzy relations.- Intuitionistic fuzzy relations and measures of consensus.- A soft design of acceptance sampling plans by variables.- Network Based Technologies.- On the problem of performing exact partial abductive inference in Bayesian belief networks using junction trees.- Computing probabilities of events in Bayesian networks.- Approximate Bayesian networks.- Stochastic algorithms for searching causal orderings in Bayesian networks.- SYMBIONT: A cooperative evolutionary model for evolving artificial neural networks for classification.- Functional equivalence between S-neural networks and fuzzy models.- Logic and Logic Based Systems.- Towards mathematical morpho-logics.- Fuzzy sets from a mathematical-naive point of view.- On the implementation of Fril++ for object-oriented logic programming with uncertainty and fuzziness.- On some simplifications of the axiomatization of monoidal logic.- Logical measure - structure of logical formula.

A fuzzy edge-dependent motion adaptive algorithm for de-interlacing

De-interlacing algorithms are required to convert interlaced video into progressive scan format. They perform an interpolation technique which doubles the vertical sampling density. This paper presents a de-interlacing algorithm which employs fuzzy logic to adapt the interpolation strategy to the presence of motion and edges. Extensive simulations of video sequences prove the advantages of this novel approach.

Active Reflectors: Possible Solutions Based on Reflectarrays and Fresnel Reflectors

An overview about some of the recent Spanish developments on active reflectors is presented. In the first part, a novel beamsteering active reflectarray is deeply studied. It is based on implementing in each elementary radiator an IQ modulator structure, in which amplitude and phase control of the scattered field is achieved. Finally, a special effort is made in offering solutions to overcome the active antenna integration problems. In the second part, the active concept is firstly extended to Fresnel reflectors. Thanks to the development of a proper simulator, this special structure can be easily analysed. This simulator allows the study of performance of this kind of reflectors and, applying evolutionary algorithms, to find optimal configurations of reflector in accordance with the given specifications for the conformal radiation pattern.

Fuzzy motion adaptive algorithm for video de-interlacing

A motion adaptive algorithm for video de-interlacing is presented in this paper. It is based on a fuzzy inference system, which performs an interpolation between two linear techniques as a function of the motion level. Fuzzy systems with different number of ’if-then’ rules have been analyzed and compared in terms of complexity as well as efficiency in de-interlacing benchmark video sequences.

Edge-adaptive spatial video de-interlacing algorithms based on fuzzy logic

Since the human visual system is especially sensitive to image edges, edge-dependent spatial interpolators have been proposed in literature as a means of successfully restoring edges while avoiding the staircase effect of linear spatial algorithms. This paper addresses the application of video de-interlacing, which constitutes an indispensable stage in video format conversion. Classic edge-adaptive de-interlacing algorithms introduce annoying artifacts when the edge directions are evaluated incorrectly. This paper presents two ways of exploiting fuzzy reasoning to reinforce edges without an excessive increase in computational complexity. The performance of the proposed algorithms is analyzed by deinterlacing a wide set of test sequences. The study compares the two proposals both with each other and with other edge-adaptive de-interlacing methods reported in the recent literature.

Efficient fuzzy compiler for SIMD architectures

This paper presents a real-time full-programmable fuzzy compiler based on piecewise linear interpolation techniques designed to be executed in single instruction multiple data (SIMD) architectures. A full-programmable fuzzy processor is defined as a system where the set of rules, the membership functions, the t-norm, the t-conorm, the aggregation operator, the propagation operator, and the defuzzyfication algorithm can be defined by any valid algorithm. The SIMD platforms selected are the Intel Pentium III (using the SSE set of instructions) and the Texas Instruments TI DSP C6x family. The final speed obtained in both implementations is highly satisfactory and better than the speed provided by standard specific hardware.

Fuzzy Waves: Interference and Holography

After an introduction about my position on the importance of fuzzy logic and soft computing in general, and the major influence of professor Enric Trillas in the diffusion and actual development of this conceptual domain, I present an essay on superposition or aggregation of electromagnetic fields and coherent waves in general, in the free space, giving a personal view on the relationship of this physics with soft computing.