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Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105016
Abstract: BACKGROUND AND OBJECTIVE A feed-forward neural network (FNN) is a type of artificial neural network that has been widely used in medical diagnosis, data mining, stock market analysis, and other fields. Many studies have used…
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Keywords:
gsa;
fuzzy rules;
performance;
neural network ... See more keywords
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Published in 2024 at "AIP Advances"
DOI: 10.1063/5.0195107
Abstract: Monitoring the health of the elderly using wearable sensors and Internet of Things (IoT) devices necessitates the collection of data from various sources, thereby increasing the volume of data to be gathered at the monitoring…
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Keywords:
system;
elderly health;
monitoring;
fuzzy rules ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957735
Abstract: This paper proposes and develops a fuzzy evolutionary system based on the Grey Wolf Optimizer (GWO) algorithm to evolve Mamdani fuzzy rules that give a knowledge base for accurate classification of data set. GWO takes…
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Keywords:
mamdani fuzzy;
fuzzy rules;
swarm;
data classification ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3415488
Abstract: The problem of discontinuous derivatives with respect to the control effort is observed in the prototype of preproduction DC motor torque-control. This behavior violates the basic requirement of conventional adaptive controllers. To overcome this issue,…
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Keywords:
control;
quantum inference;
inference fuzzy;
fuzzy rules ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3136678
Abstract: Interval type-2 fuzzy neural networks (IT2FNNs) usually stack adequate fuzzy rules to identify nonlinear systems with high-dimensional inputs, which may result in an explosion of fuzzy rules. To cope with this problem, a self-organizing IT2FNN,…
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Keywords:
information;
fuzzy rules;
type fuzzy;
fuzzy ... See more keywords
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Published in 2017 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2016.2598767
Abstract: Collective decision processes involve a large number of decision makers, demanding the consensus of different points of view about problems of several knowledge areas. The analysis and comparison of these points of view can contribute…
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Keywords:
mental models;
analysis comparison;
analysis;
june july ... See more keywords
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Published in 2023 at "Journal of Mathematics"
DOI: 10.1155/2023/8027664
Abstract: The precise estimates about finance, atmospheric science, power sector, industries, agriculture, and other science help governments and institutions economically in making the relevant policies regarding import-export, demand, consumption, storage, and local industries. Due to the…
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Keywords:
fuzzy rules;
series;
distance measures;
forecasting ... See more keywords
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Published in 2019 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331218774614
Abstract: Based on axiomatic fuzzy set (AFS) theory and fuzzy information entropy, a novel fuzzy oblique decision tree (FODT) algorithm is proposed in this paper. Traditional axis-parallel decision trees only consider a single feature at each…
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Keywords:
decision;
oblique decision;
fuzzy rules;
decision tree ... See more keywords