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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3115-4
Abstract: Fuzzy rule-based systems (FRBSs) are well-known soft computing methods commonly used to tackle classification problems characterized by uncertainties and imprecisions. We propose a hybrid intelligent fruit fly optimization algorithm (FOA) to generate and classify fuzzy…
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Keywords:
algorithm;
fuzzy;
intelligent fruit;
fuzzy rule ... See more keywords
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Published in 2019 at "Journal of Marine Science and Technology"
DOI: 10.1007/s00773-019-00689-2
Abstract: Conventional dynamic positioning systems are based on PID controllers and an extended Kalman filter or a nonlinear state observer. However, it is nontrivial to tune the control parameters, and the station-keeping performance varies with environmental…
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Keywords:
based pid;
rule based;
dynamic positioning;
controller ... See more keywords
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Published in 2017 at "Acta Geophysica"
DOI: 10.1007/s11600-017-0055-4
Abstract: Producing accurate seismic hazard map and predicting hazardous areas is necessary for risk mitigation strategies. In this paper, a fuzzy logic inference system is utilized to estimate the earthquake potential and seismic zoning of Zagros…
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Keywords:
zagros;
zagros orogenic;
orogenic belt;
using fuzzy ... See more keywords
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Published in 2021 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-021-01119-5
Abstract: Since social and environmental conditions have changed dramatically in recent years, the spectrum of diseases caused by infections is also evolving rapidly. The outspread of COVID-19 has resulted in an emergency situation across the globe…
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Keywords:
factors respond;
fuzzy;
dematel fuzzy;
rule based ... See more keywords
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Published in 2019 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.03.011
Abstract: Abstract In this paper, the use of a novel evolutionary fuzzy rule-based system (FRBS) for the prediction of Soil Organic Carbon from visible, near-infrared, and short-wave infrared (VNIR/SWIR) spectra and the textural information as additional…
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Keywords:
fuzzy rule;
soil;
swir spectra;
vnir swir ... See more keywords
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Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.046
Abstract: This paper proposes a novel method for offline outlier detection in nonlinear dynamical systems using an input-output dataset of a Topical Negative Pressure Wound Therapy Device, NPWT. The fundamental characteristics of an NPWT describe a…
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Keywords:
topical negative;
outlier detection;
fuzzy rule;
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3014509
Abstract: A monotone fuzzy rule relabeling (MFRR) algorithm has been introduced previously for tackling the issue of a non-monotone fuzzy rule base in the Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS). In this paper, we further propose…
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Keywords:
fuzzy rule;
rule;
monotone fuzzy;
methodology ... See more keywords
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Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2799198
Abstract: With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by…
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Keywords:
big data;
rule based;
proposed scheme;
fuzzy rule ... See more keywords
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Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2020.2973956
Abstract: Quite often, complex systems or phenomena are observed from various points of view yielding the particular subsets of data usually being composed of locally available attributes. Such datasets give rise to individual models. As is…
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Keywords:
fuzzy rule;
based models;
aggregation;
aggregation fuzzy ... See more keywords
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Published in 2021 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3057239
Abstract: Formulating a generalized monotone fuzzy rule interpolation (MFRI) model is difficult. A complete and monotone fuzzy rule-base is essential for devising a monotone zero-order TSK FIS model. However, such a complete and monotone fuzzy rule-base…
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Keywords:
fuzzy rule;
rule base;
monotone fuzzy;
fuzzy ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3136359
Abstract: When a fuzzy system is presented with an incomplete (or sparse) rule base, fuzzy rule interpolation (FRI) offers a useful mechanism to infer conclusions for unmatched observations. However, most existing FRI methodologies are established for…
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Keywords:
interpolation neighbors;
rule;
fuzzy rule;
rule interpolation ... See more keywords