This paper presents two new intelligent systems for power quality assessment applications. One is for automated power quality disturbance detection and classification, and the other is for power system model validation. Seeking improved performance over existing approaches for power quality disturbance detection and classification, a novel fuzzy-expert system utilizing fuzzy logic and expert sy...

In the paper basic defuzzification techniques are considered. The defuzzification process is present at a fuzzy system when an output fuzzy set should be mapped to a crisped value. Features are given which are the base for a defuzzification techniques comparison. Techniques are classified into several groups. The overview of defuzzification techniques is given, as well as their comparison on th...

This paper summarizes some results of the authors’ research that have been carried out in recent years on generalization of conventional aggregation operators. Aggregation of information represented by membership functions is a central matter in intelligent systems where fuzzy rule base and reasoning mechanism are applied. Typical examples of such systems consist of, but not limited to, fuzzy c...

Medical diagnosis is one of the most important significant applications of computer science. Knowledge based system is to produce intelligent machine or software which emulate human being’s intelligence. Integration of artificial Intelligence and knowledge based systems leads to a new technology. Application of knowledge based system has been aptly applied to make diagnosis process easier and f...

The Hand Motion Understanding (HMU) system recognises static and dynamic hand signs in Australian Sign Language (Auslan) by dealing with "fine grain" hand motion, such as configuration changes of fingers. The system consists of the 3D hand tracker and the adaptive fuzzy expert classifier. The hand tracker extracts 3D hand configuration data with 21 degrees-of-freedom (DOFs) from a visual motion...

For building design, computational intelligence systems use a knowledge base formed by means of neural network and fuzzy logic (neuro-fuzzy) techniques, from a building design database. The application of such a system to a building design task was preliminarily demonstrated earlier. The present research describes a systematic neural fuzzy modelling of data that forms a knowledge base in a hier...

Fuzzy metagraph is an emerging technique used in the design of many information processing systems like transaction processing systems, decision support systems, and workflow systems. Very often, even a carefully chosen graph data structure could be improvised to provide more efficiency in terms of time complexity or space complexity or both. In this paper, a well-designed fuzzy metagraph is pr...

Recently, there is great deal of interest in the use of fuzzy expert systems in control applications. Controllers based on fuzzy logic belong to the class of static or memoryless nonlinear controllers and provide better control than is possible using linear control. The major strength of fuzzy controllers lies in the way a nonlinear output mapping of a number of inputs can be specified easily u...

An intelligent diagnosis methodology, which can trace the possible breakdown causes, is developed using fuzzy set theory in this paper. Application of the inverse logical inference in the expert systems of diagnosis is considered. Diagnosis decision finding requires fuzzy logical equations system solution. The diagnosis based on fuzzy logical equations can act as an expert consultant to facilit...