Fuzzy expert system has shown a remarkable tool for building of intelligent decision making systems based on expert’s knowledge and observations. This work presents an approach for the treatment of patients on the basis of fuzzy rules applied on symptoms that seen in patient. For the identification of complex disease like ADHD, SLP and IBS, firstly fuzzy rules applied based on the symptoms sele...

This paper shows the fuzzy analogical reasoning for medical diagnosis in modeling how an expert reasons. Normally this process involves imprecision and so, medical entities are modeled using fuzzy sets. The diagnostic for a patient is obtained by a syntactic similarity or the similarity grade to a previous case. It is shown the results of an expert system implementation in rheumatology Poster D...

A fuzzy-modeling method for the emulation of expert decision behavior for static as well as dynamic systems is presented. The input – output dataset of the system – or expert behavior is changed using fuzzy-sets into examples in linguistic form. These resulting examples build the fundament of the machine learning process for rule production (ID3).

In this paper a noble method of fault locating in a radial power distribution system is discussed. Fuzzy system will ease the calculation involved. The history associated with fault occurred in power system can be effectively used as a strong database. This database will act as the trainer to the fuzzy expert system. A rich history of faulty area will enhance the performance of the fuzzy fault ...

Adaptive Neuro-fuzzy inference system (ANFIS) is multi-layer system proposed by Jang, enables to increase the performance by integrates the best features of Artificial Neural Networks and Fuzzy inference system into a single framework. It is a popular framework for solving complex problems. In this present work, an ANFIS is proposed for detection the risk factor of hypertension. In this work, f...

1 Abstract — In order to improve children speech therapy, we develop a Fuzzy Expert System based on a speech therapy guide. This guide, write in natural language, was formalized using fuzzy logic paradigm. In this manner we obtain a knowledge base with over 150 rules and 19 linguistic variables. All these researches, including expert system validation, are part of TERAPERS project (financed by ...

Gyroscopes are instruments capable of sensing changes in their inertial orientation. A gyroscope has one or more sensitive axis and can measure a rotation around them. They are usually mechanical devices that employ a rapid spinning mass to detect the inertial variations. Satellites usually have gyroscopes in the Attitude and Orbit Control System as attitude (orientation) sensors that measure a...

During short-term scheduling in a steel plant, one problem is to know beforehand how long equipment will be usable and when it will have to be maintained. The present system answers this question for a part in a continuous caster in order to inform another system that schedules short-term production. It uses fuzzy inference rules to process input data and to compute the life-expectancy of the p...

Abstract: Using optimization tools such as genetic algorithms (GAs) to construct a fuzzy expert system (FES) focusing only on its accuracy without considering the comprehensibility may result in a system that is not easy to understand. To exploit the transparency features of FESs for explanation in higher-level knowledge representation, a FES should provide high comprehensibility while preserve...

The heart is the most important member of the human body. Its task is giving blood to all the members. Disruption in the work of the member makes up compromised the human health. Many factors affect the proper functioning of this organ. In this article we're going to design a system that will help to doctors in diagnosing heart disease. The rules of this system is extracted by consultation with...