Soft Computing Techniques for Fuzzy Digraph Analysis

Tharani S., Kavitha T., Deepa R., Sarala N.

2025

Abstract

This study explores the use of bipartite fuzzy soft digraphs as an innovative approach for the comprehensive modeling of inherited skin tone determination. Skin tone is a multidimensional trait influenced by combined environmental and hereditary factors. It is important in dermatology, genetics, and customized medicine. Due to their inherent complexity and ambiguity, traditional modeling tools occasionally fail to capture the complex relationships between various components. In order to create a reliable model of genetic skin tone determination, we suggest combining fuzzy logic and soft computing techniques with bipartite fuzzy soft digraphs. This approach takes into consideration the inherent ambiguity in the relationships between genes and environmental influences by defining vertices for genes, external variables, and phenotypic outcomes, and edges for the connections between them. We go over how we created this model and its implications for comprehending the basic processes underlying skin pigmentation.

Paper Citation

in Harvard Style

S. T., T. K., R. D. and N. S. (2025). Soft Computing Techniques for Fuzzy Digraph Analysis. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 335-344. DOI: 10.5220/0013897600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Tharani S. and Kavitha T. and Deepa R. and Sarala N.},
title={Soft Computing Techniques for Fuzzy Digraph Analysis},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={335-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013897600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Soft Computing Techniques for Fuzzy Digraph Analysis
SN - 978-989-758-777-1
AU - S. T.
AU - T. K.
AU - R. D.
AU - N. S.
PY - 2025
SP - 335
EP - 344
DO - 10.5220/0013897600004919
PB - SciTePress