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.
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Research Article
Naim Cagman
Gaziosmanpasa University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3037-1868
License:
This work is licensed under a CC BY 4.0 License. Read Full License
In this study, we first define expansion and reduction of the soft sets that are based on the linguistic modifiers. By using these new notions we then construct a decision making method called soft reduction method, which selects a set of optimum alternatives. We finally present an example which shows that the methods can be successfully applied to many problems containing uncertainties.
Keywords
Soft sets , Linguistic modifiers , Expansion soft sets , Reduction soft sets , Soft reduction method , Soft decision making
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CURRENT STATUS: Under Review
Version 1
Posted 27 Apr, 2021
No community comments so far
Editorial decision: Major Revision
On 25 May, 2021
Reviews received
Received 25 Apr, 2021
Reviewers invited
Invitations sent on 23 Apr, 2021
First submitted
On 27 Jan, 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
Naim Cagman
Gaziosmanpasa University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-3037-1868
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 27 Apr, 2021
No community comments so far
Editorial decision: Major Revision
On 25 May, 2021
Reviews received
Received 25 Apr, 2021
Reviewers invited
Invitations sent on 23 Apr, 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 this study, we first define expansion and reduction of the soft sets that are based on the linguistic modifiers. By using these new notions we then construct a decision making method called soft reduction method, which selects a set of optimum alternatives. We finally present an example which shows that the methods can be successfully applied to many problems containing uncertainties.
This preprint is available for download as a PDF.
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