1 Liliane dos Santos Machado, Department of Informatics, Universidade Federal da Paraíba, Cidade Universitária s/n CEP 58.051-900 João Pessoa – PB Brazil, [email protected] 2 Ronei Marcos de Moraes, Department of Statistics, Universidade Federal da Paraíba, Cidade Universitária s/n CEP 58.051-900 João Pessoa – PB Brazil, [email protected] Abstract  The approach of continuous evaluation is an i...

This paper is focused on an introduction of a new software product, which is called FuzzME. This software was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. The type of evaluations employed in the fuzzy models fully corresponds with the paradigm of the fuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of correspondin...

The past decade has witnessed signiicant growth in developing intelligent tools for nancial forecasting. Expert Systems were quickly shown to be inadequate for the tasks required in nancial forecasting due to their static nature. As a result, interest started to move towards soft computing despite the fact that comprehensibility is often of paramount concern in nancial forecasting. Merging the ...

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...

Neural networks, which make no assumption about data distribution, have achieved improved image classification results compared to traditional methods. Unfortunately, a neural network is generally perceived as being a ‘black box’. It is extremely difficult to document how specific classification decisions are reached. Fuzzy systems, on the other hand, have the capability to represent classifica...

This paper presents a survey of voltage/Var control techniques. It introduces both the control devices for individual reactive power sources and several popular control systems (OPRF, hierarchical voltage control, expert system and fuzzy logic) for whole power transmission network.

Data Mining operations and approaches are the improvement over the statistical methods that enables a user to perform the future analysis based on current dataset. One of such analysis provided by data mining approaches is the predication based analysis. In this present work, the heart disease prediction system is designed. The heart disease prediction is actually an expert system application w...

In this paper we show that some applications of a fuzzy methodology in medical diagnosis were ”inspired” by probabilistic approaches. Although probability theory and fuzzy set theory describe different facets of uncertainty. In this paper we trace the transformation of statistical measures of diagnostic accuracy to fuzzy occurrence, exclusion and confirmation relations, applied in several fuzzy...

An effective system testing activity for consecutive releases of very large software systems depends considerably on the selection of test cases for execution. From a practical point of view, it is not feasible to run all possible test cases because of the real-world constraints of limited time, human and monetary resources. While existing techniques for test case selection provide methods to l...

Expert systems are computer programs that emulate the reasoning process of a human expert or perform in an expert manner in a domain for which no human expert exists. They typically reason with uncertain and imprecise information. In this paper, we present a fuzzy expert system for a airplane navigation fault diagnosis system making the use of fuzzy set theory to deal with uncertainty. The faul...