QSPR Analysis of Novel Topological Index Based on Proximity Degree
In this article, we define a \(k\)-proximity degree and based on this distance degree, we introduce a novel topological index named Proximity Index \((\PI_k)\). By considering octane and heptane isomers, we have studied QSPR regression analysis to predict the physio-chemical properties and chemical applicability of the index.
Authors
- P. S. Ranjini
- V. Lokesha
- Deepasree S Kumar (ORCID: https://orcid.org/0000-0002-3313-676X)
- Md. Samiul Haque (ORCID: https://orcid.org/0000-0002-6723-6427)
Institutions
- International Institute of Information Technology Bangalore (IN)
- Sri Krishnadevaraya University (IN)
- Vijayanagara Sri Krishnadevaraya University (IN)
- Visvesvaraya Technological University (IN)
Publication Details
- Journal
- Communications in Mathematics and Applications
- Published
- 2024-12-15
- DOI
- https://doi.org/10.26713/cma.v15i4.3282
- Primary Topic
- Rough Sets and Fuzzy Logic
- Type
- article
- Field-Weighted Citation Impact
- 0.00