On Graph Structures in Fuzzy Environment Using Optimization Parameter

This paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after valida...

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Main Authors: Atiq Ur Rehman, Wojciech Salabun, Shahzad Faizi, Muhammad Hussain, Jaroslaw Watrobski
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9435189/
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spelling doaj-ab91d7fecbb9419c82ca701416b32d262021-06-02T23:19:49ZengIEEEIEEE Access2169-35362021-01-019756997571110.1109/ACCESS.2021.30815059435189On Graph Structures in Fuzzy Environment Using Optimization ParameterAtiq Ur Rehman0https://orcid.org/0000-0002-3199-3346Wojciech Salabun1https://orcid.org/0000-0001-7076-2519Shahzad Faizi2Muhammad Hussain3https://orcid.org/0000-0003-1768-3111Jaroslaw Watrobski4https://orcid.org/0000-0002-4415-9414Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Artificial Intelligence and Applied Mathematics, Research Team on Intelligent Decision Support Systems, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, PolandDepartment of Mathematics, Virtual University of Pakistan, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanInstitute of Management, University of Szczecin, Szczecin, PolandThis paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after validating with examples, accordingly. The notions of regular and <inline-formula> <tex-math notation="LaTeX">$m\mu _{k}$ </tex-math></inline-formula>-regular <italic>FGSs</italic> are described, where <inline-formula> <tex-math notation="LaTeX">$m\in$ </tex-math></inline-formula>&#x005D;0, 1&#x005D; represents the degree of all vertices in <inline-formula> <tex-math notation="LaTeX">$\widetilde {G}$ </tex-math></inline-formula> under mapping <inline-formula> <tex-math notation="LaTeX">$\mu _{k}$ </tex-math></inline-formula>, and develop certain properties of regular <italic>WMFGSs</italic>. In addition, we create a flowchart to present common application procedures of fuzzy graphical frameworks to classify the advanced city out of some important Pakistani cities subject to certain parameters.https://ieeexplore.ieee.org/document/9435189/Fuzzy graph structureweighted mean productvertex degreevertex total degreeregular fuzzy graph structure
collection DOAJ
language English
format Article
sources DOAJ
author Atiq Ur Rehman
Wojciech Salabun
Shahzad Faizi
Muhammad Hussain
Jaroslaw Watrobski
spellingShingle Atiq Ur Rehman
Wojciech Salabun
Shahzad Faizi
Muhammad Hussain
Jaroslaw Watrobski
On Graph Structures in Fuzzy Environment Using Optimization Parameter
IEEE Access
Fuzzy graph structure
weighted mean product
vertex degree
vertex total degree
regular fuzzy graph structure
author_facet Atiq Ur Rehman
Wojciech Salabun
Shahzad Faizi
Muhammad Hussain
Jaroslaw Watrobski
author_sort Atiq Ur Rehman
title On Graph Structures in Fuzzy Environment Using Optimization Parameter
title_short On Graph Structures in Fuzzy Environment Using Optimization Parameter
title_full On Graph Structures in Fuzzy Environment Using Optimization Parameter
title_fullStr On Graph Structures in Fuzzy Environment Using Optimization Parameter
title_full_unstemmed On Graph Structures in Fuzzy Environment Using Optimization Parameter
title_sort on graph structures in fuzzy environment using optimization parameter
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description This paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after validating with examples, accordingly. The notions of regular and <inline-formula> <tex-math notation="LaTeX">$m\mu _{k}$ </tex-math></inline-formula>-regular <italic>FGSs</italic> are described, where <inline-formula> <tex-math notation="LaTeX">$m\in$ </tex-math></inline-formula>&#x005D;0, 1&#x005D; represents the degree of all vertices in <inline-formula> <tex-math notation="LaTeX">$\widetilde {G}$ </tex-math></inline-formula> under mapping <inline-formula> <tex-math notation="LaTeX">$\mu _{k}$ </tex-math></inline-formula>, and develop certain properties of regular <italic>WMFGSs</italic>. In addition, we create a flowchart to present common application procedures of fuzzy graphical frameworks to classify the advanced city out of some important Pakistani cities subject to certain parameters.
topic Fuzzy graph structure
weighted mean product
vertex degree
vertex total degree
regular fuzzy graph structure
url https://ieeexplore.ieee.org/document/9435189/
work_keys_str_mv AT atiqurrehman ongraphstructuresinfuzzyenvironmentusingoptimizationparameter
AT wojciechsalabun ongraphstructuresinfuzzyenvironmentusingoptimizationparameter
AT shahzadfaizi ongraphstructuresinfuzzyenvironmentusingoptimizationparameter
AT muhammadhussain ongraphstructuresinfuzzyenvironmentusingoptimizationparameter
AT jaroslawwatrobski ongraphstructuresinfuzzyenvironmentusingoptimizationparameter
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