Results 221 to 230 of about 4,660 (255)

Hierarchical Fuzzy-Logic Expert Systems for Medical Diagnostics

Informacionnye Tehnologii, 2022
Unlike numerous publications on the application of fuzzy logic in medicine, where the main attention was paid to the medical features of the problem, this work for the first time formulates the most effective areas and general methodological aspects of constructing such systems.
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Fuzzy logic as a basis for a theory of hierarchical definability (THD)

33rd International Symposium on Multiple-Valued Logic, 2003. Proceedings., 2004
Attempts to formulate mathematically precise definitions of basic concepts such as causality, randomness and probability have a long history. The concept of hierarchical definability that is outlined in the following suggests that such definitions may not exist. Furthermore, it suggests that existing definitions of many basic concepts, among them those
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Hierarchical and feed-forward fuzzy Logic for financial modelling and prediction

1997
In this paper, the development of a Hierarchical and Feed-Forward intelligent Fuzzy Logic system using Genetic Algorithms for prediction and modelling of fluctuations in interest rates in Australia is discussed. The system developed is used to predict quarterly and half yearly interest rates using fuzzy logic.
Masoud Mohammadian, Mark Kingham
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Sensitivity analysis in hierarchical fuzzy logic models

[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track, 2003
A method developed previously for performing sensitivity analysis with systems based on two-valued logic is extended to the case in which all points in the closed unit interval are possible truth values and the rules of fuzzy logic apply. The advantage of this approach over incrementing inputs and observing outputs are that (1) some insight may be ...
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Hierarchical distributed genetic algorithms: a fuzzy logic controller design application

IEEE Expert, 1996
Unlike conventional genetic algorithms, HDGAs use a multiresolutional search scheme and change structure to achieve a goal. In this application, an HDGA investigates various configurations dynamically to find the optimal design of a fuzzy logic controller for a complex, unmanned, space-based plant.
Jinwoo Kim 0002, Bernard P. Zeigler
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Hierarchical Fuzzy Logic Controller for a non-holonomic mobile robot

2016 5th International Conference on Systems and Control (ICSC), 2016
In this paper, we have treated a mobile robot command problem using a Hierarchical Fuzzy Logic Controller HFLC. A new approach based on HFLC is presented in this paper to avoid collisions with obstacles. In fact, HFLC consists of a number of low-dimensional standard fuzzy systems connected in a hierarchical fashion.
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Electricity Load Prediction Using Hierarchical Fuzzy Logic Systems

2005
Electricity load forecasting has been the subject of research over the past several years by researchers and practitioners in academia and industry. This is due to its very important role for effective and economic operation of power stations. In this paper an intelligent hierarchical fuzzy logic system using genetic algorithms for the prediction and ...
Masoud Mohammadian, Ric Jentzsch
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Hierarchical Rule-based Monitoring and Fuzzy Logic Control for Neuromuscular Block

Journal of Clinical Monitoring and Computing, 2000
The important task for anaesthetists is to provide an adequate degree of neuromuscular block during surgical operations, so that it should not be difficult to antagonize at the end of surgery. Therefore, this study examined the application of a simple technique (i.e., fuzzy logic) to an almost ideal muscle relaxant (i.e., rocuronium) at general ...
J S, Shieh, S Z, Fan, L W, Chang, C C, Liu   +3 more
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Designing Unsupervised Hierarchical Fuzzy Logic Systems

2009
Systems such as robotic systems and systems with large input-output data tend to be difficult to model using mathematical techniques. These systems have typically high dimensionality and have degrees of uncertainty in many parameters. Artificial intelligence techniques such as neural networks, fuzzy logic, genetic algorithms and evolutionary algorithms
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Hybrid Dynamic Fuzzy Cognitive Maps and Hierarchical Fuzzy logic controllers for Autonomous Mobile Navigation

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
This work is an evolution of a previous work in which we used a knowledge-based system to autonomous navigation area. Two navigation systems are developed: one uses Fuzzy Cognitive Maps (FCM) and the other is based on a Fuzzy Logic Controller (FLC). For the first system, a variant of the classical FCM, named Hybrid-Dynamic Fuzzy Cognitive Maps (HDFCM),
Márcio Mendonça, Esdras Salgado da Silva, Ivan Rossato Chrun, Lúcia Valéria Ramos de Arruda   +3 more
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