Algebraic structures and lattice properties of hypergraph Pre-Rough sets

The study introduces and examines the concept of hypergraph pre-rough sets, which are developed by combining minimum soft descriptions with hypergraph structures. It defines this set's theoretical foundation and emphasises its essential algebraic characteristics. The study also indicates that the sum of all hypergraph pre-rough sets forms a lattice in a canonical ordering. By integrating basic soft descriptions to hypergraph-based approximations, the proposed framework effectively represents higher-order relational uncertainty. The results improve the algebraic structure of rough set theory and provide a foundation for further research in complex network analysis, multi-parameter decision-making, and hypergraph-based uncertainty modelling.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-12-01
DOI
https://doi.org/10.30511/mcs.2025.2074948.1504
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
Field-Weighted Citation Impact
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article

Algebraic structures and lattice properties of hypergraph Pre-Rough sets

Shriram Kalathian, Ganesan Gomathi, Subbaraj Marichamy, Peer Mohaideen Miya Fathima Benazir
SHILAP Revista de lepidopterología
Rough Sets and Fuzzy Logic
article

Algebraic structures and lattice properties of hypergraph Pre-Rough sets

Shriram Kalathian, Ganesan Gomathi, Subbaraj Marichamy, Peer Mohaideen Miya Fathima Benazir
article en

Abstract

The study introduces and examines the concept of hypergraph pre-rough sets, which are developed by combining minimum soft descriptions with hypergraph structures. It defines this set's theoretical foundation and emphasises its essential algebraic characteristics. The study also indicates that the sum of all hypergraph pre-rough sets forms a lattice in a canonical ordering. By integrating basic soft descriptions to hypergraph-based approximations, the proposed framework effectively represents higher-order relational uncertainty. The results improve the algebraic structure of rough set theory and provide a foundation for further research in complex network analysis, multi-parameter decision-making, and hypergraph-based uncertainty modelling.

SHILAP Revista de lepidopterología
Chennai Mathematical Institute (IN), St. Joseph's Institute of Technology (IN), Saveetha University (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Rough Sets and Fuzzy Logic
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