One of the common problems for fuzzy system implementation arises from the complications of the fuzzy inference process. Extra computations are required to deduce a consequence due to nature of fuzzy sets. Furthermore, considerable simulations need to be performed to verify system functions. In order to reduce the prototyping time, the fuzzy system is partitioned into hardware and software port...

In this paper, a framework for an intelligent bedside monitor is presented. The monitor derives an abstraction of the current status of a patient by fuzzy state transitions on pre-processed input continuously supplied by clinical instrumentation. So far, an implementation called DIAMON-1 has been used for off-line evaluation of data of patients suffering from the adult respiratory distress synd...

The main purpose of this work is to understand some limitations introduced by the classical definitions of cellnlar automata (CA). To this end, we have defined a new model of CAs (fuzzy CAs) which allows the observation of interesting "chaotic" properties of elementary CAs. To date neither a formal nor a precise definition of "chaos" in CAs exists; we believe that the proposed model provides a ...

Image segmentation is one of the most important and challenging problems in image processing. The main purpose of image segmentation is to partition an image into a set of disjoint regions with uniform attributes. In this study, we propose an improved method for edge detection and image segmentation using fuzzy cellular automata. In the first stage, we introduce a new edge detection method base...