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Article type: Research Article
Authors: Imtiaz, Aneezaa | Shuaib, Umera; * | Razaq, Abdulb | Gulistan, Muhammadc
Affiliations: [a] Department of Mathematics, Government College University, Faisalabad, Pakistan | [b] Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan | [c] Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan
Correspondence: [*] Corresponding author. Umer Shuaib, Department of Mathematics, Government College University, Faisalabad, 38000, Pakistan. E-mail: [email protected].
Abstract: The study of complex fuzzy sets defined over the meet operator (ξ – CFS) is a useful mathematical tool in which range of degrees is extended from [0, 1] to complex plane with unit disk. These particular complex fuzzy sets plays a significant role in solving various decision making problems as these particular sets are powerful extensions of classical fuzzy sets. In this paper, we define ξ – CFS and propose the notion of complex fuzzy subgroups defined over ξ – CFS (ξ – CFSG) along with their various fundamental algebraic characteristics. We extend the study of this idea by defining the concepts of ξ – complex fuzzy homomorphism and ξ – complex fuzzy isomorphism between any two ξ – complex fuzzy subgroups and establish fundamental theorems of ξ – complex fuzzy morphisms. In addition, we effectively apply the idea of ξ – complex fuzzy homomorphism to refine the corrupted homomorphic image by eliminating its distortions in order to obtain its original form. Moreover, to view the true advantage of ξ – complex fuzzy homomorphism, we present a comparative analysis with the existing knowledge of complex fuzzy homomorphism which enables us to choose this particular approach to solve many decision-making problems.
Keywords: ξ –complex fuzzy sets (ξ – CFS), ξ –complex fuzzy subgroups (ξ – CFSG), ξ –complex fuzzy normal subgroups (ξ – CFNSG), ξ –complex fuzzy homomorphism, ξ –complex fuzzy isomorphism
Keywords: 08A72, 20N25, 03E72
DOI: 10.3233/JIFS-201261
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 4425-4437, 2021
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