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The Characterization of Substructures of γ-Anti Fuzzy Subgroups with Application in Genetics

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Listed:
  • Kalaichelvan Kalaiarasi
  • P. Sudha
  • Nasreen Kausar
  • Sajida Kousar
  • Dragan Pamucar
  • Nasr Al Din Ide
  • Lele Qin

Abstract

Fuzzy and anti fuzzy normal subgroups are the current instrument for dealing with ambiguity in various decision-making challenges. This article discusses γ-anti fuzzy normal subgroups and γ-fuzzy normal subgroups. Set-theoretic properties of union and intersection are examined and it is observed that union and intersection of γ-anti fuzzy normal subgroups are γ-anti fuzzy normal subgroups. Employee selection impacts the input quality of employees and hence plays an important part in human resource management. The cost of a group is established in proportion to the fuzzy multisets of a fuzzy multigroup. It was a good idea to introduce anti-intuitionistic fuzzy sets and anti-intuitionistic fuzzy subgroups, as well as to demonstrate some of their algebraic features. Product of γ-anti fuzzy normal subgroups and γ-fuzzy normal subgroups is defined, the product’s algebraic nature is analyzed, and the findings are supported by presenting γ-anti typical sections with blurring and γ-ordinary parts with the weirdness of well-defined and well-established groups of genetic codes.

Suggested Citation

  • Kalaichelvan Kalaiarasi & P. Sudha & Nasreen Kausar & Sajida Kousar & Dragan Pamucar & Nasr Al Din Ide & Lele Qin, 2022. "The Characterization of Substructures of γ-Anti Fuzzy Subgroups with Application in Genetics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-8, July.
    • Handle: RePEc:hin:jnddns:1252885
    DOI: 10.1155/2022/1252885
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