An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application

Purpose: This study aims to tackle the challenging facility location selection problem in Multiple Criteria Decision Making (MCDM) scenarios, explicitly focusing on type-1 fuzzy MCDM issues. The research introduces Interval Valued Fuzzy Numbers (IVFNs) to express ratings, addressing the difficulty i...

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Main Authors: Mahin Ashouri, Abdollah Hadi-Vencheh, Ali Jamshidi
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2023-11-01
Series:تصمیم گیری و تحقیق در عملیات
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Online Access:https://www.journal-dmor.ir/article_168094_5a746e80772e162c1df45d5ab30abce4.pdf
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author Mahin Ashouri
Abdollah Hadi-Vencheh
Ali Jamshidi
author_facet Mahin Ashouri
Abdollah Hadi-Vencheh
Ali Jamshidi
author_sort Mahin Ashouri
collection DOAJ
description Purpose: This study aims to tackle the challenging facility location selection problem in Multiple Criteria Decision Making (MCDM) scenarios, explicitly focusing on type-1 fuzzy MCDM issues. The research introduces Interval Valued Fuzzy Numbers (IVFNs) to express ratings, addressing the difficulty in determining precise membership degrees for fuzzy sets.Methodology: The proposed IVF-COPRAS method, centered on uncertainty risk reduction, is employed to enhance decision-making reliability in IVF decision problems. This methodology is applied to a real-world case involving the selection of a location for municipal wet waste landfill pits in a major Iranian city. Comparative analyses with other methods are conducted to assess the proposed approach.Findings: The study demonstrates the effectiveness of the IVF-COPRAS method in addressing facility location selection problems within MCDM. By utilizing IVFNs, the method successfully manages uncertainty, leading to more reliable decisions. Application to a practical scenario highlights the method's efficacy, and the comparative analysis provides insights into its performance relative to other methods.Originality/Value: This research contributes a novel approach with the IVF-COPRAS method for handling facility location selection challenges in MCDM. The reliance on IVFNs offers a unique perspective on uncertainty in decision-making, enhancing decision reliability. The real-world application emphasizes the method's practical significance, providing a valuable contribution to MCDM research and offering a methodological tool for similar decision-making problems across diverse domains.
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institution Kabale University
issn 2538-5097
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publishDate 2023-11-01
publisher Ayandegan Institute of Higher Education, Tonekabon,
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spelling doaj-art-03b6caece90d47ef943ec5be1a8c34532025-01-30T15:03:34ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592023-11-018486187110.22105/dmor.2023.339388.1600168094An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an applicationMahin Ashouri0Abdollah Hadi-Vencheh1Ali Jamshidi2Department of Mathematics, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.Department of Mathematics, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.Department of Mathematics, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.Purpose: This study aims to tackle the challenging facility location selection problem in Multiple Criteria Decision Making (MCDM) scenarios, explicitly focusing on type-1 fuzzy MCDM issues. The research introduces Interval Valued Fuzzy Numbers (IVFNs) to express ratings, addressing the difficulty in determining precise membership degrees for fuzzy sets.Methodology: The proposed IVF-COPRAS method, centered on uncertainty risk reduction, is employed to enhance decision-making reliability in IVF decision problems. This methodology is applied to a real-world case involving the selection of a location for municipal wet waste landfill pits in a major Iranian city. Comparative analyses with other methods are conducted to assess the proposed approach.Findings: The study demonstrates the effectiveness of the IVF-COPRAS method in addressing facility location selection problems within MCDM. By utilizing IVFNs, the method successfully manages uncertainty, leading to more reliable decisions. Application to a practical scenario highlights the method's efficacy, and the comparative analysis provides insights into its performance relative to other methods.Originality/Value: This research contributes a novel approach with the IVF-COPRAS method for handling facility location selection challenges in MCDM. The reliance on IVFNs offers a unique perspective on uncertainty in decision-making, enhancing decision reliability. The real-world application emphasizes the method's practical significance, providing a valuable contribution to MCDM research and offering a methodological tool for similar decision-making problems across diverse domains.https://www.journal-dmor.ir/article_168094_5a746e80772e162c1df45d5ab30abce4.pdfmultiple criteria decision makinginterval valued fuzzy setstype-1 fuzzy setscopras method
spellingShingle Mahin Ashouri
Abdollah Hadi-Vencheh
Ali Jamshidi
An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
تصمیم گیری و تحقیق در عملیات
multiple criteria decision making
interval valued fuzzy sets
type-1 fuzzy sets
copras method
title An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
title_full An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
title_fullStr An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
title_full_unstemmed An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
title_short An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application
title_sort interval valued fuzzy complex proportional assessment ivf copras method to solve mcdm problem with an application
topic multiple criteria decision making
interval valued fuzzy sets
type-1 fuzzy sets
copras method
url https://www.journal-dmor.ir/article_168094_5a746e80772e162c1df45d5ab30abce4.pdf
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