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Research Article
Mikhail Golosovskiy
Saint Petersburg Scientific Center of the Russian Academy of Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-1956-9956
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This work is licensed under a CC BY 4.0 License. Read Full License
In the article an algorithm for configuring Sugeno type fuzzy inference systems based on statistical data is proposed. The algorithm uses the principle of operation based on selecting the area around the reference points, finding the average value in the selected areas, and using it to configure the fuzzy logic output system. The work of the algorithm takes place under the conditions of changing the number of functions belonging to input variables and the number of points of statistical data, on the basis of which the models were configured.
Keywords
average sum, fuzzy control, fuzzy inference system, Sugeno type system.
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CURRENT STATUS: Under Review
Version 1
Posted 23 Nov, 2021
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Received 20 Nov, 2021
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On 26 Mar, 2021
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This preprint is under consideration at Soft Computing. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Mikhail Golosovskiy
Saint Petersburg Scientific Center of the Russian Academy of Sciences
Corresponding Author
ORCiD: https://orcid.org/0000-0002-1956-9956
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 23 Nov, 2021
No community comments so far
Reviews received
Received 20 Nov, 2021
Reviewers invited
Invitations sent on 19 Nov, 2021
Editor assigned
On 26 Mar, 2021
First submitted
On 27 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
In the article an algorithm for configuring Sugeno type fuzzy inference systems based on statistical data is proposed. The algorithm uses the principle of operation based on selecting the area around the reference points, finding the average value in the selected areas, and using it to configure the fuzzy logic output system. The work of the algorithm takes place under the conditions of changing the number of functions belonging to input variables and the number of points of statistical data, on the basis of which the models were configured.
This preprint is available for download as a PDF.
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