Image development in the framework of ξ – complex fuzzy morphisms

Author:

Imtiaz Aneeza1,Shuaib Umer1,Razaq Abdul2,Gulistan Muhammad3

Affiliation:

1. Department of Mathematics, Government College University, Faisalabad, Pakistan

2. Department of Mathematics, Division of Science and Technology, University of Education, Lahore, Pakistan

3. Department of Mathematics and Statistics, Hazara University, Mansehra, Pakistan

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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