‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets

The present paper reviews and compares the main theories reported in the literature for managing the existing real life uncertainty by listing their advantages and disadvantages. Starting with a comparison of the bivalent logic (including probability) and fuzzy logic, proceeds to a brief description...

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Main Author: Michael Voskoglou
Format: Article
Language:English
Published: Islamic Azad University, Bandar Abbas Branch 2022-11-01
Series:Transactions on Fuzzy Sets and Systems
Subjects:
Online Access:https://tfss.journals.iau.ir/article_691755_f6658160013b0a99f18b43383745a0ad.pdf
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author Michael Voskoglou
author_facet Michael Voskoglou
author_sort Michael Voskoglou
collection DOAJ
description The present paper reviews and compares the main theories reported in the literature for managing the existing real life uncertainty by listing their advantages and disadvantages. Starting with a comparison of the bivalent logic (including probability) and fuzzy logic, proceeds to a brief description of the primary generalizations of fuzzy sets (FSs) including interval valued FSs, type-2 FSs, intuitionistic FSs, neutrosophic sets, etc. Alternative theories related to fuzziness are also examined including grey system theory, rough sets and soft sets. The conclusion obtained at the end of this discussion is that there is no ideal model for managing the uncertainty; it all depends upon the form, the available data and the existing knowledge about the problem under solution. The combination of all the existing models, however, provides a sufficient framework for efficiently tackling several types of uncertainty appearing in real life.
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spelling doaj.art-3390e3e279984c8aba665085cd23f88a2023-05-13T17:27:53ZengIslamic Azad University, Bandar Abbas BranchTransactions on Fuzzy Sets and Systems2821-01312022-11-0112465810.30495/tfss.2022.1960147.1036691755‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft SetsMichael Voskoglou0Applied Mathematics-Technological Applications- Graduate TEI opf Westyern Greece- Patras- GreeceThe present paper reviews and compares the main theories reported in the literature for managing the existing real life uncertainty by listing their advantages and disadvantages. Starting with a comparison of the bivalent logic (including probability) and fuzzy logic, proceeds to a brief description of the primary generalizations of fuzzy sets (FSs) including interval valued FSs, type-2 FSs, intuitionistic FSs, neutrosophic sets, etc. Alternative theories related to fuzziness are also examined including grey system theory, rough sets and soft sets. The conclusion obtained at the end of this discussion is that there is no ideal model for managing the uncertainty; it all depends upon the form, the available data and the existing knowledge about the problem under solution. The combination of all the existing models, however, provides a sufficient framework for efficiently tackling several types of uncertainty appearing in real life.https://tfss.journals.iau.ir/article_691755_f6658160013b0a99f18b43383745a0ad.pdfuncertainty‎‎fuzzy set (fs)‎‎interval valued fs (ivfs)‎‎type-2 fs‎‎intuitionistic fs (ifs)‎‎neutrosophic set (ns)‎‎rough set‎‎soft set‎‎grey system (gs)‎
spellingShingle Michael Voskoglou
‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
Transactions on Fuzzy Sets and Systems
uncertainty‎
‎fuzzy set (fs)‎
‎interval valued fs (ivfs)‎
‎type-2 fs‎
‎intuitionistic fs (ifs)‎
‎neutrosophic set (ns)‎
‎rough set‎
‎soft set‎
‎grey system (gs)‎
title ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
title_full ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
title_fullStr ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
title_full_unstemmed ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
title_short ‎Managing the Uncertainty‎: From Probability to Fuzziness‎, Neutrosophy and Soft Sets
title_sort ‎managing the uncertainty‎ from probability to fuzziness‎ neutrosophy and soft sets
topic uncertainty‎
‎fuzzy set (fs)‎
‎interval valued fs (ivfs)‎
‎type-2 fs‎
‎intuitionistic fs (ifs)‎
‎neutrosophic set (ns)‎
‎rough set‎
‎soft set‎
‎grey system (gs)‎
url https://tfss.journals.iau.ir/article_691755_f6658160013b0a99f18b43383745a0ad.pdf
work_keys_str_mv AT michaelvoskoglou managingtheuncertaintyfromprobabilitytofuzzinessneutrosophyandsoftsets