The task of designing and configuring large Computer Networks most suited to a certain application and environment is difficult, as it requires highly specialized technical skills and knowledge, as well as a deep understanding of a dynamic commercial market. Current expert systems have made solid achievements in supporting decision makers, they use prior experience to solve problems in differen...

Fishburne coefficients, fuzzy knowledge, membership function. Abstract— We have considered designation and structure of the knowledge acquisition block of the expert system for technical and technological service of complex machines. The main aspects of fuzzy expert knowledge representation designated for setting parameters of the machines technological adjustment have been studied. The block o...

This research suggests a new type of inte1,ligent system based on new approaches to generation and selection of family of fuzzy logics. It is based on new generalizedl strategy of designing of fuzzy intelligent systems. Family of fuzzy logics can be generated by T-norms axiomatic system to choose the logic, that is the most suitable to expert way of thinking. Then the selected fuzzy logic is te...

We consider the approaches to making decisions for control problems in nonstandard situations with a lack of the previous experience and incomplete knowledge of the considered problem. In such cases we usually cannot do without expert evaluations which lead to the process of group decisionmaking, and it becomes necessary to solve a problem of alternatives aggregation. It is proposed to solve su...

Fuzzy modeling is routinely used to transform the knowledge of an expert, be it a physician or a process operator, into a mathematical model. The emphasis is on constructing a fuzzy expert system that replaces the human expert. In this paper, we advocate a di1erent application of fuzzy modeling, namely, as a tool that can assist human observers in the di2cult task of transforming their observat...

Currently there is one of the prevalent diseases of 21st century is liver disorders annually killing so many people’s round the worlds. A range of therapies have been provided by researcher to evaluate results. Early diagnosis is of considerable amount of significance in treating the disease. Diagnosis is of the physician skills conducting based on their knowledge’s and experience yet an error ...

Currently there is one of the prevalent diseases of 21st century is liver disorders annually killing so many people’s round the worlds. A range of therapies have been provided by researcher to evaluate results. Early diagnosis is of considerable amount of significance in treating the disease. Diagnosis is of the physician skills conducting based on their knowledge’s and experience yet an error ...

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).