A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings

Argued decisions, risk estimation, empirical study, forecasts, apprehension supervision, and productive exposition depend on the degree of possibility. It enables us to assess the degree to which specific results are acceptable and to make more informed decisions by drawing on the information at our...

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Main Authors: Saeed Muhammad, Basit Ali Muhammed, Rahman Atiqe Ur, Yasir Hayat Malik Muhammad
Format: Article
Language:English
Published: University of Belgrade 2024-01-01
Series:Yugoslav Journal of Operations Research
Subjects:
Online Access:https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400033S.pdf
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author Saeed Muhammad
Basit Ali Muhammed
Rahman Atiqe Ur
Yasir Hayat Malik Muhammad
author_facet Saeed Muhammad
Basit Ali Muhammed
Rahman Atiqe Ur
Yasir Hayat Malik Muhammad
author_sort Saeed Muhammad
collection DOAJ
description Argued decisions, risk estimation, empirical study, forecasts, apprehension supervision, and productive exposition depend on the degree of possibility. It enables us to assess the degree to which specific results are acceptable and to make more informed decisions by drawing on the information at our disposal and logic. Although some scholars have previously examined hybrid structures resembling fuzzy soft sets with possibility degree settings serving as fuzzy membership grades, the current study introduces an innovative structure that permits more adaptable and comprehensive settings: single-valued neutrosophic grades, to serve as possibility degrees. Thus, this study aims to introduce a new mathematical structure, i.e., possibility single-valued neutrosophic soft set (psv- NSOS), which combines three important theories (i.e., possibility theory, single-valued neutrosophic theory, and soft set theory). The basic notions, and set-theoretic operations, i.e., union and intersection, of psv-NSOS are investigated and manipulated with matrix representations. Considering evaluating suppliers for a real estate construction project as a multi-attribute decision-making issue, an algorithm that utilizes the matrix manipulations of proposed set-theoretic operations is presented. The suggested algorithm’s robustness is confirmed by comparison to evaluate its dependability and adaptability for modeling uncertainties related to the supplier selection problem.
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publishDate 2024-01-01
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series Yugoslav Journal of Operations Research
spelling doaj-art-ebc1364b59494d7891a0ba2f00a9a1a52025-01-30T06:47:14ZengUniversity of BelgradeYugoslav Journal of Operations Research0354-02431820-743X2024-01-0134482584710.2298/YJOR240315033S0354-02432400033SA multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settingsSaeed Muhammad0https://orcid.org/0000-0002-7284-6908Basit Ali Muhammed1https://orcid.org/0009-0008-4714-960XRahman Atiqe Ur2https://orcid.org/0000-0001-6320-9221Yasir Hayat Malik Muhammad3https://orcid.org/0000-0002-0053-0955Department of Mathematics, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, Division of Science and Technology, University of Education, Lahore, PakistanArgued decisions, risk estimation, empirical study, forecasts, apprehension supervision, and productive exposition depend on the degree of possibility. It enables us to assess the degree to which specific results are acceptable and to make more informed decisions by drawing on the information at our disposal and logic. Although some scholars have previously examined hybrid structures resembling fuzzy soft sets with possibility degree settings serving as fuzzy membership grades, the current study introduces an innovative structure that permits more adaptable and comprehensive settings: single-valued neutrosophic grades, to serve as possibility degrees. Thus, this study aims to introduce a new mathematical structure, i.e., possibility single-valued neutrosophic soft set (psv- NSOS), which combines three important theories (i.e., possibility theory, single-valued neutrosophic theory, and soft set theory). The basic notions, and set-theoretic operations, i.e., union and intersection, of psv-NSOS are investigated and manipulated with matrix representations. Considering evaluating suppliers for a real estate construction project as a multi-attribute decision-making issue, an algorithm that utilizes the matrix manipulations of proposed set-theoretic operations is presented. The suggested algorithm’s robustness is confirmed by comparison to evaluate its dependability and adaptability for modeling uncertainties related to the supplier selection problem.https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400033S.pdfpossibility degreesingle-valued neutrosophic setsoft setdecision makingsupply chain management
spellingShingle Saeed Muhammad
Basit Ali Muhammed
Rahman Atiqe Ur
Yasir Hayat Malik Muhammad
A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
Yugoslav Journal of Operations Research
possibility degree
single-valued neutrosophic set
soft set
decision making
supply chain management
title A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
title_full A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
title_fullStr A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
title_full_unstemmed A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
title_short A multi-attribute decision making context for supply chain management using possibility single-valued neutrosophic soft settings
title_sort multi attribute decision making context for supply chain management using possibility single valued neutrosophic soft settings
topic possibility degree
single-valued neutrosophic set
soft set
decision making
supply chain management
url https://doiserbia.nb.rs/img/doi/0354-0243/2024/0354-02432400033S.pdf
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