Emergency management (EM) is a very important issue with various kinds of emergency events frequently taking place. One of the most important components of EM is to evaluate the emergency response capacity (ERC) of emergency department or emergency alternative. Because of time pressure, lack of experience and data, experts often evaluate the importance and the ratings of qualitative criteria in...

This paper describes a VLSI architecture for classification of multiand hyperspectral imagery using Fuzzy Logic with trapezoidal membership functions. The fuzzy classifier is implemented using a rule-based approach, where each class is defined as a set of sub rules. There is only one sub rule associated to each band within a class. Each sub rule is implemented as a dedicated parallel hardware. ...

In this paper basic notions of the rough intuitionistic fuzzy set theory will be given. In fact the paper concerns a relationship between rough intuitionistic fuzzy sets and lattice theory. We shall introduce the notion of rough intuitionistic fuzzy lattice (resp rough intuitionistic fuzzy ideals). We also defined intuitionistic fuzzy rough set corresponding to a rough set and given conditions ...

This contribution presents Soft Computing Robot Navigation for mobile robot SCORCAS, a Case Study. The Navigation uses fuzzy logic experienced on mobile robot systems. Fuzzy logic is applied in analogous way into three sub-systems: i. Sensor, consisting of five autonomous sensor sub-systems: visual, acoustic, tactile, thermal and inertial; ii. Sensor fusion that comprise all the robot stimulus ...

A fuzzy-nets based in-process adaptive surface roughness control (FNASRC) system was developed in this research. The FNASRC system was able to adapt cutting parameters in-process and in a real time fashion to improve the surface roughness of machined parts when the surface roughness quality was not meeting customer requirements in the end milling operations. The FNASRC system was comprised of t...

Reliability has vital significance to engineers and designers in a safety system. Consequently, failures free operation of components or sub-systems is of their key concern. To assess the reliability of such systems quantitatively, failure data of the components or sub-systems is essentially required. In general, such data is either not pre-recorded or present in linguistic form (good, bad etc)...

Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...

The primary issue involved in image and signal processing is to efficiently remove noise from a digital color image while preserving its features. A fuzzy filter is presented for the reduction of additive noise for digital color images. The filter consists of two sub filters. The first sub filter computes fuzzy distances among the color components of the central pixel and its neighborhood. Thes...

Image sharpening refers to any enhancement technique that highlights edges and fine details in an image. The conventional methods for sharpening the images has several drawbacks such as, complex and slow calculations, color loss, anisotropy effects etc. In this paper, a new fuzzy filter is proposed for sharpening the color images. The sharpening fuzzy filter consists of two sub-filters. The fir...

Medical image classification as an important research topic both in image processing and biomedical engineering. The ridgelet transform has good directional selective ability to locally and sparsely in representing the image compared with the traditional wavelet transform. This paper proposes a novel classification model for medical image, which is using ridgelet transform and dynamic fuzzy the...