Displaying similar documents to “Nonlinear and dynamic aerodynamic models for commercial transport aircraft with adverse weather effects.”

Fuzzy approach for data association in image tracking.

Julio García, José Manuel Molina, Juan Alberto Besada, Javier I. Portillo (2003)

Mathware and Soft Computing

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A fuzzy system has been developed to ponder update decisions both for the trajectories and shapes estimated for targets. It is embedded in an A-SMGCS Surveillance function for airport surface, based on video data processing, in charge of the automatic detection, identification and tracking of all interesting targets (aircraft and relevant ground vehicles). The tracking system captures a sequence of images, preprocesses them to extract the moving regions (blobs), and associates the blobs...

Design of a rule-driven architecture for a generic T-norm.

Enrique Frías, Julio Gutiérrez, Felipe Fernández (2000)

Mathware and Soft Computing

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Rule-Driven processing has been proved as a way of achieving high speed in fuzzy hardware. Up to now, rule-driven architectures were designed to work with minimum or product as T-norm. This paper proposes two new rule-driven models designed for any T-norm (programmable T-norm) and any kind of membership function. The first one gives a valid theory for rule-driven processing with programmable T-norm and establishes the background for the second model. The second model has been designed...

Relations of granular worlds

Witold Pedrycz, George Vukovich (2002)

International Journal of Applied Mathematics and Computer Science

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In this study, we are concerned with a two-objective development of information granules completed on a basis of numeric data. The first goal of this design concerns revealing and representing a structure in a data set. As such it is very much oriented towards coping with the underlying it relational aspects of the experimental data. The second goal deals with a formation of a mapping between information granules constructed in two spaces (thus it concentrates on the it directional aspect...

An approach to fuzzy temporal reasoning in medicine.

R. Marín, S. Barro, F. Palacios, R. Ruiz, F. Martín (1994)

Mathware and Soft Computing

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In this work we propose an approach for the application of a fuzzy temporal constraint model to intelligent patient monitoring tasks. After analyzing the requirements of the domain, we describe the approach that was followed in order to represent temporal information and solve queries on temporal relations. These processes require the cooperation of a temporal specialist with the domain reasoning mechanisms. The integration solution presented here corresponds to a stage of the implementation...

Learning fuzzy systems. An objective function-approach.

Frank Höppner, Frank Klawonn (2004)

Mathware and Soft Computing

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One of the most important aspects of fuzzy systems is that they are easily understandable and interpretable. This property, however, does not come for free but poses some essential constraints on the parameters of a fuzzy system (like the linguistic terms), which are sometimes overlooked when learning fuzzy system autornatically from data. In this paper, an objective function-based approach to learn fuzzy systems is developed, taking these constraints explicitly into account. Starting...

Neuro-rough-fuzzy approach for regression modelling from missing data

Krzysztof Simiński (2012)

International Journal of Applied Mathematics and Computer Science

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Real life data sets often suffer from missing data. The neuro-rough-fuzzy systems proposed hitherto often cannot handle such situations. The paper presents a neuro-fuzzy system for data sets with missing values. The proposed solution is a complete neuro-fuzzy system. The system creates a rough fuzzy model from presented data (both full and with missing values) and is able to elaborate the answer for full and missing data examples. The paper also describes the dedicated clustering algorithm....