Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives

The present paper comes across the main steps that were laid from Zadeh’s fuzziness and Atanassov’s intuitionistic fuzzy sets to Smarandache’s indeterminacy and to Molodstov’s soft sets. Two hybrid methods for assessment and decision making, respectively, under fuzzy conditions are also presented us...

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Main Author: Michael Gr. Voskoglou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/20/3909
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author Michael Gr. Voskoglou
author_facet Michael Gr. Voskoglou
author_sort Michael Gr. Voskoglou
collection DOAJ
description The present paper comes across the main steps that were laid from Zadeh’s fuzziness and Atanassov’s intuitionistic fuzzy sets to Smarandache’s indeterminacy and to Molodstov’s soft sets. Two hybrid methods for assessment and decision making, respectively, under fuzzy conditions are also presented using suitable examples that use soft sets and real intervals as tools. The decision making method improves on an earlier method of Maji et al. Further, it is described how the concept of topological space, the most general category of mathematical spaces, can be extended to fuzzy structures and how to generalize the fundamental mathematical concepts of limit, continuity compactness and Hausdorff space within such kinds of structures. In particular, fuzzy and soft topological spaces are defined and examples are given to illustrate these generalizations.
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spelling doaj.art-5f0f1754d6b14282a8e4d76929471af82023-11-24T01:08:23ZengMDPI AGMathematics2227-73902022-10-011020390910.3390/math10203909Fuzziness, Indeterminacy and Soft Sets: Frontiers and PerspectivesMichael Gr. Voskoglou0Department of Applied Mathematics, Graduate Technological Educational Institute of Western Greece, 22334 Patras, GreeceThe present paper comes across the main steps that were laid from Zadeh’s fuzziness and Atanassov’s intuitionistic fuzzy sets to Smarandache’s indeterminacy and to Molodstov’s soft sets. Two hybrid methods for assessment and decision making, respectively, under fuzzy conditions are also presented using suitable examples that use soft sets and real intervals as tools. The decision making method improves on an earlier method of Maji et al. Further, it is described how the concept of topological space, the most general category of mathematical spaces, can be extended to fuzzy structures and how to generalize the fundamental mathematical concepts of limit, continuity compactness and Hausdorff space within such kinds of structures. In particular, fuzzy and soft topological spaces are defined and examples are given to illustrate these generalizations.https://www.mdpi.com/2227-7390/10/20/3909fuzzy set (FS)fuzzy logic (FL)intuitionistic FS (IFS)indeterminacyneutrosophic set (NS)soft set (SS)
spellingShingle Michael Gr. Voskoglou
Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
Mathematics
fuzzy set (FS)
fuzzy logic (FL)
intuitionistic FS (IFS)
indeterminacy
neutrosophic set (NS)
soft set (SS)
title Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
title_full Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
title_fullStr Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
title_full_unstemmed Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
title_short Fuzziness, Indeterminacy and Soft Sets: Frontiers and Perspectives
title_sort fuzziness indeterminacy and soft sets frontiers and perspectives
topic fuzzy set (FS)
fuzzy logic (FL)
intuitionistic FS (IFS)
indeterminacy
neutrosophic set (NS)
soft set (SS)
url https://www.mdpi.com/2227-7390/10/20/3909
work_keys_str_mv AT michaelgrvoskoglou fuzzinessindeterminacyandsoftsetsfrontiersandperspectives