The term medical knowledge is a superimposed concept for the relationships between symptoms and diagnoses a physician may find in books, journals, monographs, but also in practical experience. In the second half of the 20th century medical knowledge was also stored in computer systems. To assist physicians in medical decision-making and attendance medical expert systems have been constructed th...

First fuzzy controllers based on Zadeh's studies [1] of human-machine interaction, were simple expert systems designed on the basis of human operator experience as, for example, the steam engine controller of Mamdani and Assilian [2]. Although this approach has produced many successful applications e.g. [3], the common complaint is that the design procedure relies heavily on human judgement and...

This paper presents an expert system approach to criteria weighting for solving multicriteria analysis problems involving repetitive selection of alternatives regarding multiple criteria for accomplishing a specific task. Linguistic terms modelled by fuzzy numbers are used to effectively formulate the imprecise and subjective weighting process. A fuzzy knowledge base is constructed to acquire t...

1 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] 2 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] Abstract  The approach of continuous evaluation is an i...

Brewing of sake is one of Japanese traditional technologies developed in a long experience of peoples spending a long time over several thousands of years in their history. Their continuous efforts for technology development has now resulted in a large scale industry producing various kinds of sake in a big scale with the most modern technologies including facilities of full automation and oper...

fuzzy control systems have had various applications in a wide range of science and engineering in recent years. since an unstable control system is typically useless and potentially dangerous, stability is the most important requirement for any control system (including fuzzy control system). conceptually, there are two types of stability for control systems: lyapunov stability (a special case ...

The core of expert knowledge is typically represented by a set of rules (implications) assigned with weights specifying their (un)certainties. The task of inference mechanism in such rulebased expert systems can be analyzed from the many-valued (fuzzy) logic perspective. On the other hand, implicational relations between two Boolean attributes derived from data (association rules) are quantifie...

Lawrence O. Hall Dept. of Computer Science and Engineering, ENB 118 University of South Florida Tampa, Fl. 33620 [email protected] Abstract A fuzzy expert system must do rule chaining differently than a non-fuzzy expert system. In particular, any rule that can fire with a particular linguistic variable in its consequent must fire before any rule whose antecedent conditions depend upon the resul...

In this special issue on "Fuzzy Expert Systems," six papers cover a wide range of concerns--from theory to applications including: (1) a rule base reorganization, (2) a linear interpolation, (3) a neuro-fuzzy approach to pairwise comparison, (4) properties of reduction, in transitive matrices, (5) a consistency checking procedure, and (6) a context dependency model. We present a brief review of...