In a fuzzy topology on a set X, the limit of a prefilter (i.e. a filter in the lattice [0,i] X) is calculated from the fuzzy closure. In this way convergence is derived from a fuzzy topology. In our paper we start with any rule "lira" which to any prefilter on X assigns, a function lira E [0,i] X. We give necessary and sufficient conditions for the function lim in order that it can be derived f...

The neural network's performance can be measured by efficiency and accuracy. The major disadvantages of neural network approach are that the generalization capability of neural networks is often significantly low, and it may take a very long time to tune the weights in the net to generate an accurate model for a highly complex and nonlinear systems. This paper presents a novel Neuro-fuzzy archi...

Spam email, is the practice of frequently sending unwanted email messages, usually with commercial content, in large quantities to a set of indiscriminate email accounts. However, since spammers continuously improve their techniques in order to compromise the spam filters, building a spam filter that can be incrementally learned and adapted became an active research field. Researches employed m...

Image enhancement is used to reduce the noise and improve resolution contrast of the image. The images can be improved by improving the quality regarding the pixel values. The pixel values are manipulated with the number of inputs and the gray level values. On the other hand Fuzzy image enhancement is based on gray level mapping into a fuzzy plane, using a membership function. This paper compar...

The intelligent fuzzy input estimator is used to estimate the input force of the rigid bar structural system in this study. The fuzzy Kalman filter without the input term and the fuzzy weighting recursive least square estimator are two main portions of this method. The practicability and accuracy of the proposed method were verified with numerical simulations from which the input forces of a ri...

In this paper, the operation of a fuzzy predictive filter used to provide high robustness against feedback signal noise in a fuzzy logic (FL)-based angle estimation algorithm for the switched reluctance motor is described. The fuzzy predictive filtering method combines both FL-based time-series prediction, as well as a heuristic knowledge-based algorithm to detect and discard feedback signal er...

In this paper a novel modulated power filter compensator (MPFC) is used for power quality improvement on transmission side for the smart grid stabilization and efficient utilization. The MPFC is controlled by a novel tri-loop dynamic error driven inter coupled fuzzy controller. The Fuzzy logic controller based on fuzzy logic provides a means of converting a linguistic control strategy based on ...

A new interacting multiple model (IMM) algorithm using intelligent input estimation (IIE) is proposed for maneuvering target tracking. In the proposed method, the acceleration level for each sub-model is determined by IIE-the estimation of the unknown target acceleration by a fuzzy system using the relation between the residuals of the maneuvering filter and the non-maneuvering filter. The gene...

This paper presents application of fuzzy logic controller for shunt active power filter to improve power quality in the distribution systems. The main feature of fuzzy logic controller does not require any complex mathematical model of the systems to regulate dc bus capacitor voltage. The reference compensating current has been estimated by unit vector template generation technique. The actual ...

Originaly, a filter is a physical device for removing unwanted components of mixtures (gas, liquid, solid). In the area of telecommunications, signals are mixtures of different frequencies, and the term of filter is used to describe the attenuation of the unwanted frequencies. Since 1940, the concept of a filter was extended to the separation of signals from noise. With Kalman filter, the meani...