English

Solving linear equations by fuzzy quasigroups techniques

Group Theory 2017-01-27 v1

Abstract

We deal with solutions of classical linear equations ax=b and ya=b, applying a particular lattice valued fuzzy technique. Our framework is a structure with a binary operation (a groupoid), equipped with a fuzzy equality. We call it a fuzzy quasigroup if the above equations have unique solutons with respect to the fuzzy equality. We prove that a fuzzy quasigroup can equivalently be characterized as a structure whose quotients of cut-substructures with respect to cuts of the fuzzy equality are classical quasigroups. Analyzing two approaches to quasigroups in a fuzzy framework, we prove their equivalence. In addition, we prove that a fuzzy loop (quasigroup with a unit element) which is a fuzzy semigroup is a fuzzy group and vice versa. Finally, using properties of these fuzzy quasigroups, we give answers to existence of solutions of the mentioned linear equations with respect to a fuzzy equality, and we describe solving procedures.

Keywords

Cite

@article{arxiv.1701.07701,
  title  = {Solving linear equations by fuzzy quasigroups techniques},
  author = {Aleksandar Krapež and Branimir Šešelja and Andreja Tepavčević},
  journal= {arXiv preprint arXiv:1701.07701},
  year   = {2017}
}

Comments

Submitted to IEEE Transactions on Fuzzy Systems

R2 v1 2026-06-22T18:01:17.973Z