A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment

In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measure...

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Main Authors: Asghar Ali, Khan Khuram Ali, Rahman Atiqe Ur
Format: Article
Language:English
Published: University of Belgrade 2024-01-01
Series:Yugoslav Journal of Operations Research
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Online Access:https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdf
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author Asghar Ali
Khan Khuram Ali
Rahman Atiqe Ur
author_facet Asghar Ali
Khan Khuram Ali
Rahman Atiqe Ur
author_sort Asghar Ali
collection DOAJ
description In scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measures to manage intricacy, imperfection, and uncertainty across a range of domains is what makes them significant. This article proposes a distance formula based on complex picture fuzzy soft sets (CPiFSs) along with related results in its first phase. Following that, the second phase presents the η-equalities for the proposed distances of CPiFSs. Establishing a hospital is complicated, especially when it comes to choosing the ideal site because it affects mobility and the efficacy of community service. Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. To overcome these challenges, an algorithm based on CPiFS distance measures is presented in the third phase for the evaluation of hospital sites. Finally, the paper concludes by emphasizing the significance of this research and its potential applications in various contexts.
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institution Kabale University
issn 0354-0243
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publishDate 2024-01-01
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series Yugoslav Journal of Operations Research
spelling doaj-art-29cd03e85a1d43c9a8399215e57efafe2025-01-30T06:47:14ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2024-01-0134479581210.2298/YJOR240218030A0354-02432400030AA multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environmentAsghar Ali0https://orcid.org/0009-0006-8504-0512Khan Khuram Ali1https://orcid.org/0000-0002-3468-2295Rahman Atiqe Ur2https://orcid.org/0000-0001-6320-9221Department of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, University of Sargodha, Sargodha, PakistanDepartment of Mathematics, University of Management and Technology, Lahore, PakistanIn scenarios containing complex or high-dimensional data, in which conventional distance measures might not be able to accurately portray the subtleties of information interactions, a complex picture fuzzy soft distance measure is crucial. The potential of complex picture fuzzy soft distance measures to manage intricacy, imperfection, and uncertainty across a range of domains is what makes them significant. This article proposes a distance formula based on complex picture fuzzy soft sets (CPiFSs) along with related results in its first phase. Following that, the second phase presents the η-equalities for the proposed distances of CPiFSs. Establishing a hospital is complicated, especially when it comes to choosing the ideal site because it affects mobility and the efficacy of community service. Even though there are several algorithms in the literature those deals with these location-related decision-making challenges, every algorithm has intrinsic flaws that affect how decisions are made. To overcome these challenges, an algorithm based on CPiFS distance measures is presented in the third phase for the evaluation of hospital sites. Finally, the paper concludes by emphasizing the significance of this research and its potential applications in various contexts.https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdfdecision-makingoptimizationfuzzy soft setcomplex fuzzy soft setpicture fuzzy soft setcomplex picture fuzzy soft set
spellingShingle Asghar Ali
Khan Khuram Ali
Rahman Atiqe Ur
A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
Yugoslav Journal of Operations Research
decision-making
optimization
fuzzy soft set
complex fuzzy soft set
picture fuzzy soft set
complex picture fuzzy soft set
title A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
title_full A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
title_fullStr A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
title_full_unstemmed A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
title_short A multi-attribute decision-making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
title_sort multi attribute decision making context for hospital site evaluation using distance measures under complex picture fuzzy soft set environment
topic decision-making
optimization
fuzzy soft set
complex fuzzy soft set
picture fuzzy soft set
complex picture fuzzy soft set
url https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400030A.pdf
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