Perichetla Kandaswamy Hemalatha
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Perichetla Kandaswamy Hemalatha has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jiri Struz
Faculty of Mechanical Engineering Department of Machine Parts and Mechanism VSB -Technical University of Ostrava 17. Listopadu 15/ 2172 CZ 708 33 Ostrava Czech Republic
1 shared publication - Lenka Cepova
VSB Tech Univ Ostrava, Fac Mech Engn, Dept Machining Assembly & Engn Metrol, Ostrava 70800, Czech Republic
1 shared publication - Ramachandramoorthi Shanmugapriya
Department of Mathematics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India
1 shared publication
Latest Publications
- Open Access
- 5 November 2023
- Published by Science Research Society in Advances in Nonlinear Variational Inequalities
- Vol. 26 (2) , 15-35
A Modified Fuzzy Labeling Graph using Geometric Mean and Harmonic mean and its Application
The Modified Fuzzy Labeling Graph (MFLG) has gained popularity in the field of image processing due to its ability to accurately represent complex images. However, there are limitations to the MFLG approach that can be addressed through the use of geometric mean and harmonic measures. In this paper, the authors propose a new idea on a modified fuzzy labeling graph. A Modified fuzzy (M ) graph σ is a function from V to [0,1] and µ is a function from E to [0,1] where ∀ . The modified fuzzy labeling has an edge value, which is less than or equal to the maximum of two endpoints that is To obtain the result, the edge weight is assigned as Geometric labeling mean, where W(e) is equal to the square root of two end points. The edge weight is assigned as Harmonic mean labeling, which is . The study examines the modified fuzzy labeling for the different graphs including Alternate Pentagon snake graph, Alternate Double Pentagon snake graph, and Alternate Triple Pentagon snake graphs using Geometric mean; and the discussed , D and Quadrilateral snake graph using Harmonic mean. Graph that permits modified fuzzy (MFL) labeling is called a . Some of the properties and results thereof have been explained. The authors also discuss an application of critical path method in Operation Research for students Higher studies problem.
- 5 November 2023
- Published by Science Research Society in Advances in Nonlinear Variational Inequalities
- Vol. 26 (2) , 15-35
Open AccessA Modified Fuzzy Labeling Graph using Geometric Mean and Harmonic mean and its Application
The Modified Fuzzy Labeling Graph (MFLG) has gained popularity in the field of image processing due to its ability to accurately represent complex images. However, there are limitations to the MFLG approach that can be addressed through the use of geometric mean and harmonic measures. In this paper, the authors propose a new idea on a modified fuzzy labeling graph. A Modified fuzzy (M ) graph σ is a function from V to [0,1] and µ is a function from E to [0,1] where ∀ . The modified fuzzy labeling has an edge value, which is less than or equal to the maximum of two endpoints that is To obtain the result, the edge weight is assigned as Geometric labeling mean, where W(e) is equal to the square root of two end points. The edge weight is assigned as Harmonic mean labeling, which is . The study examines the modified fuzzy labeling for the different graphs including Alternate Pentagon snake graph, Alternate Double Pentagon snake graph, and Alternate Triple Pentagon snake graphs using Geometric mean; and the discussed , D and Quadrilateral snake graph using Harmonic mean. Graph that permits modified fuzzy (MFL) labeling is called a . Some of the properties and results thereof have been explained. The authors also discuss an application of critical path method in Operation Research for students Higher studies problem.
- Open Access
- 8 August 2023
- Published by MDPI AG in Mathematics
- Vol. 11 (16) , 3440
A Study of Independency on Fuzzy Resolving Sets of Labelling Graphs
Considering a fuzzy graph G is simple and can be connected and considered as a subset ; then, every two pairs of elements of have a unique depiction with the relation of , and can be termed as a fuzzy resolving set (FRS). The minimal cardinality is regarded as the fuzzy resolving number (FRN), and it is signified by . An independence set is discussed on the FRS, fuzzy resolving domination set (FRDS), and Fuzzy modified antimagic resolving set (FMARS). In this paper, we discuss the independency of FRS and FMARS in which an application has also been developed.- 8 August 2023
- Published by MDPI AG in Mathematics
- Vol. 11 (16) , 3440
Open AccessA Study of Independency on Fuzzy Resolving Sets of Labelling Graphs
Considering a fuzzy graph G is simple and can be connected and considered as a subset ; then, every two pairs of elements of have a unique depiction with the relation of , and can be termed as a fuzzy resolving set (FRS). The minimal cardinality is regarded as the fuzzy resolving number (FRN), and it is signified by . An independence set is discussed on the FRS, fuzzy resolving domination set (FRDS), and Fuzzy modified antimagic resolving set (FMARS). In this paper, we discuss the independency of FRS and FMARS in which an application has also been developed.