anti-lock braking system (abs) which is a nonlinear and time variant system may not be easily controlled by classic control methods. this is due to the fact that classic linear controllers are just capable of controlling a specific plant in small region of state space. to overcome this problem, a more powerful control technique must be employed for complex nonlinear plants. fuzzy controllers ar...

image segmentation is an important task in image processing and computer vision which attract many researchers attention. there are a couple of information sets pixels in an image: statistical and structural information which refer to the feature value of pixel data and local correlation of pixel data, respectively. markov random field (mrf) is a tool for modeling statistical and structural inf...

This paper is a study about the relationships among topologies and intuitionistic fuzzy topology induced, respectively, by approximation operators and an intuitionistic fuzzy approximation operator associated with an approximation space (X,R), when the relation R on X is precisely reflexive and transitive. In particular, we consider an intuitionistic fuzzy approximation operator on an approxima...

1 This paper describes CINTIA, a Neuro-Fuzzy real-time controller based on Pulse Stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two di erent approaches, namely Neuro-Fuzzy Controllers and Finite State Automata. The former are implemented by means of a custom neural chip (manufactured by ES2), while the latter are implemented ...

allows the user to define rules on contraindication alerts, drug interaction warnings, diagnostic and In the near future, every medical intreatment recommendations, etc. formation system wiil be equipped with a function that provides knowledge-based decision support. Data-driven knowledgebased decision support consists, in the first place, of a medical data-to-concept conversion step and, secon...

In this paper a method is proposed for performance evaluation of road traffic control systems. The method is designed to be implemented in an on-line simulation environment, which enables optimisation of adaptive traffic control strategies. Performance measures are computed using a fuzzy cellular traffic model, formulated as a hybrid system combining cellular automata and fuzzy calculus. Experi...

There is a common perception that snowflakes are 6-sided and a common quip that "no two snowflakes are alike". The 6-fold symmetry suggests that the growth is deterministic, while the differences suggest the growth is so sensitive to conditions that remarkable variety appears. We investigate fuzzy automata that give a great diversity of growth patterns, have sensitivity to background conditions...

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata corner detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly the corner feature points are extracted by corner detection method based on geometry feature of corner; thirdly, the corresponding featur...

This paper introduces a fuzzy cellular model of road traffic that was intended for on-line applications in traffic control. The presented model uses fuzzy sets theory to deal with uncertainty of both input data and simulation results. Vehicles are modelled individually, thus various classes of them can be taken into consideration. In the proposed approach, all parameters of vehicles are describ...

Arti cial Neural Networks (ANNs) and Fuzzy Systems (FS) are high parallel structures that consist of a large number of elementary nonlinear units (called neurons) fully interconnected. In this article we present a hardware implementation of ANNs combined with a DSP resulting in a powerful system used in control applications. The NN processes most of the control tasks, while the DSP performs sig...