Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design

<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>spherical fuzzy (<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF) sets are a significant advancement in fuzzy set (...

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Main Authors: Lin Kang, Salma Khan, Muhammad Rahim, Kamal Shah, Thabet Abdeljawad
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10509687/
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author Lin Kang
Salma Khan
Muhammad Rahim
Kamal Shah
Thabet Abdeljawad
author_facet Lin Kang
Salma Khan
Muhammad Rahim
Kamal Shah
Thabet Abdeljawad
author_sort Lin Kang
collection DOAJ
description <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>spherical fuzzy (<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF) sets are a significant advancement in fuzzy set (FS) theory, providing an effective way to describe hesitation inside a set. This development goes beyond membership degrees (MDs) by incorporating three parameters (p, q and r) that shape and define the spread of FS. The presence of these parameters makes <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF sets ideal for dealing with complicated decision-making (DM) scenarios in a wide range of applications. In this paper, we proposed a new reliable method for smart DM in logo design projects that uses <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF Einstein aggregation operators (AOs). First, we present the <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF Einstein operators, which are accomplished of capturing the relationship and interrelationship of numerous criteria while making decisions on logo design, including originality, relevance, beauty, and usability. Next, we use the proposed framework, a multi-criteria decision analysis tool, to rank the choices. We demonstrate the practical application and efficiency of our method in a scenario in which a team of three designers is entrusted with developing five different logo styles for diverse enterprises. Moreover, we compare proposed procedure with some existing methods, demonstrating its advantages in terms of precision and reliability.
format Article
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institution Kabale University
issn 2169-3536
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spelling doaj-art-05ed6f69bcaf4d50817430a878cf6d852025-02-12T00:01:06ZengIEEEIEEE Access2169-35362024-01-0112683936840910.1109/ACCESS.2024.339469410509687Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo DesignLin Kang0Salma Khan1https://orcid.org/0000-0003-1840-2764Muhammad Rahim2https://orcid.org/0000-0003-0064-0414Kamal Shah3Thabet Abdeljawad4https://orcid.org/0000-0002-8889-3768Jiangsu Normal University Kewen College, Xuzhou, ChinaDepartment of Mathematics and Statistics, Hazara University, Mansehra, Khyber Pakhtunkhwa, PakistanDepartment of Mathematics and Statistics, Hazara University, Mansehra, Khyber Pakhtunkhwa, PakistanDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh, Saudi ArabiaDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh, Saudi Arabia<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>spherical fuzzy (<inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF) sets are a significant advancement in fuzzy set (FS) theory, providing an effective way to describe hesitation inside a set. This development goes beyond membership degrees (MDs) by incorporating three parameters (p, q and r) that shape and define the spread of FS. The presence of these parameters makes <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF sets ideal for dealing with complicated decision-making (DM) scenarios in a wide range of applications. In this paper, we proposed a new reliable method for smart DM in logo design projects that uses <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF Einstein aggregation operators (AOs). First, we present the <inline-formula> <tex-math notation="LaTeX">$p,q,r-$ </tex-math></inline-formula>SF Einstein operators, which are accomplished of capturing the relationship and interrelationship of numerous criteria while making decisions on logo design, including originality, relevance, beauty, and usability. Next, we use the proposed framework, a multi-criteria decision analysis tool, to rank the choices. We demonstrate the practical application and efficiency of our method in a scenario in which a team of three designers is entrusted with developing five different logo styles for diverse enterprises. Moreover, we compare proposed procedure with some existing methods, demonstrating its advantages in terms of precision and reliability.https://ieeexplore.ieee.org/document/10509687/p, q, r–spherical fuzzy setEinstein operationsaggregation operatorsdecision-makingoptimization
spellingShingle Lin Kang
Salma Khan
Muhammad Rahim
Kamal Shah
Thabet Abdeljawad
Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
IEEE Access
p, q, r–spherical fuzzy set
Einstein operations
aggregation operators
decision-making
optimization
title Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
title_full Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
title_fullStr Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
title_full_unstemmed Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
title_short Development <italic>p</italic>, <italic>q</italic>, <italic>r</italic>&#x2013;Spherical Fuzzy Einstein Aggregation Operators: Application in Decision-Making in Logo Design
title_sort development italic p italic italic q italic italic r italic x2013 spherical fuzzy einstein aggregation operators application in decision making in logo design
topic p, q, r–spherical fuzzy set
Einstein operations
aggregation operators
decision-making
optimization
url https://ieeexplore.ieee.org/document/10509687/
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