Bipolar Fuzzy Magnified Translation of a Lattice

In this article, we introduce the bipolar fuzzy (BF) level subsets of a lattice, and we prove the characterisation BF level subset B in terms of L forms a bipolar fuzzy lattice (BFL) and a bipolar fuzzy ideal (BFI). We show that if B forms a BFL of L, then the support set Supp(B) is a crisp sublattice of L. Also, we show that the converse necessarily does not hold in general, and we also proved the results for BFI. Moreover, we introduce and explore the concept of bipolar fuzzy magnified translation (BFMT) of a BFS. Also, we characterize a BFL and a BFI in terms of a BFMT. We show that the homomorphic image and pre-image of a BFMT of a BFL is also a BFL, and the BFMT of a BFI is also a BFI.

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Publication Details

Journal
International Journal of Analysis and Applications
Published
2024-10-31
DOI
https://doi.org/10.28924/2291-8639-22-2024-195
Primary Topic
Fuzzy Logic and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Bipolar Fuzzy Magnified Translation of a Lattice

T. Eswarlal, Aiyared Iampan, U. Venkata Kalyani
International Journal of Analysis and Applications
Fuzzy Logic and Control Systems
article

Bipolar Fuzzy Magnified Translation of a Lattice

T. Eswarlal, Aiyared Iampan, U. Venkata Kalyani
article en

Abstract

In this article, we introduce the bipolar fuzzy (BF) level subsets of a lattice, and we prove the characterisation BF level subset B in terms of L forms a bipolar fuzzy lattice (BFL) and a bipolar fuzzy ideal (BFI). We show that if B forms a BFL of L, then the support set Supp(B) is a crisp sublattice of L. Also, we show that the converse necessarily does not hold in general, and we also proved the results for BFI. Moreover, we introduce and explore the concept of bipolar fuzzy magnified translation (BFMT) of a BFS. Also, we characterize a BFL and a BFI in terms of a BFMT. We show that the homomorphic image and pre-image of a BFMT of a BFL is also a BFL, and the BFMT of a BFI is also a BFI.

International Journal of Analysis and ApplicationsVol. 22
University of Phayao
Openalex Percentile: Top 83%
Fuzzy Logic and Control Systems
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