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Design of a fuzzy controller requires more design decisions than usual, for example regarding rule base, inference engine, defuzzification, and data pre-and post processing. This tutorial paper identifies and describes the design choices related to single-loop fuzzy control, based on an international standard which is underway. The paper contains also a(More)
Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers. The idea is to start with a tuned, conventional PID(More)
The paper presents the fuzzy self-organising controller (SOC). The original controller con¿guration is shown and compared to modern model reference adaptive systems. The paper analyses the original con¿guration, and a novel approximation to the adaptation mechanism is developed. A simulation study in Simulink demonstrates that the SOC is able to stabilise a(More)
The term pap-smear refers to samples of human cells stained by the so-called Papanicolaou method. The purpose of the Papanicolaou method is to diagnose pre-cancerous cell changes before they progress to invasive carcinoma. In this paper a metaheuristic algorithm is proposed in order to classify the cells. Two databases are used, constructed in different(More)
OBJECTIVE To demonstrate and compare the application of different genetic programming (GP) based intelligent methodologies for the construction of rule-based systems in two medical domains: the diagnosis of aphasia's subtypes and the classification of pap-smear examinations. MATERIAL Past data representing (a) successful diagnosis of aphasia's subtypes(More)
A neural network can approximate a function, but it is impossible to interpret the result in terms of natural language. The fusion of neural networks and fuzzy logic in neurofuzzy models provide learning as well as readability. Control engineers find this useful, because the models can be interpreted and supplemented by process operators.
This paper demonstrates two methodologies for the construction of rule-based systems in medical decision making. The first approach consists of a method combining genetic programming and heuristic hierarchical rule-base construction. The second model is composed by a strongly-typed genetic programming system for the generation of fuzzy rule-based systems.(More)
In aphasiology many inconsistencies exist in the definition and interpretation of aphasic syndromes. These syndromes are the co-occurrence of a set of symptoms. Thus, ambiguities in these clinical, aphasic categories are suited to be generalized to many problems of classification in medicine. In this paper the aphasia database is launched as a model for(More)
A clinical syndrome is a set or a cluster of concurrent symptoms which indicate together the presence and the nature of a disease. Looking for concurrent symptoms is therefore one of the main tasks in medical diagnosis. In medicine imprecise conditions are the rule and therefore fuzzy methods are more suitable than crisp ones. We used fuzzy c-means(More)