Insights into Soft Semigraphs: AND & OR Operations and Measurement Perspectives

Authors

  • B. George Department of Mathematics, Pavanatma College, Murickassery, 685604, India
  • R. K. Thumbakara Department of Mathematics, Mar Athanasius College, Kothamangalam, 686666, India
  • J. Jose Department of Science and Humanities, Viswajyothi College of Engineering and Technology Vazhakulam, 686670, India
  • S. P. George Department of Mathematics, Pavanatma College, Murickassery, 685604, India

DOI:

https://doi.org/10.3329/jsr.v17i1.73098

Abstract

Molodtsov pioneered the concept of soft sets, offering a method to classify elements of a universe based on a specified set of parameters. This approach serves to model vagueness and uncertainty. Semigraphs are a generalized form of graphs introduced by Sampathkumar. The integration of soft set theory into semigraphs led to the creation of soft semigraphs. Due to its adeptness in handling parameterization, the field of soft semi-graph theory is rapidly evolving. This study introduces AND and OR operations within soft semi-graphs and explores some of their characteristics. Furthermore, we present various soft semi-graph measurements, such as distance, radius, diameter, and center.

Downloads

Abstract
91
pdf
73

Downloads

Published

2025-01-01

How to Cite

George, B., Thumbakara, R. K., Jose, J., & George, S. P. (2025). Insights into Soft Semigraphs: AND & OR Operations and Measurement Perspectives. Journal of Scientific Research, 17(1), 87–103. https://doi.org/10.3329/jsr.v17i1.73098

Issue

Vol. 17 No. 1 (2025)

Section

Section A: Physical and Mathematical Sciences

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.