A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor

Soil erosion is a significant issue that threatens to soil in land degradation processes. The soil erodibility factor is a crucial tool for assessing the susceptibility of soils to erosion. The main aim of this study was to compare the results obtained using the Pythagorean Fuzzy-SWARA method which...

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Main Authors: Barış Özkan, Aykut Çağlar, Orhan Dengiz
Format: Article
Language:English
Published: Faculty of Agriculture, Ankara University 2025-01-01
Series:Journal of Agricultural Sciences
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Online Access:https://dergipark.org.tr/en/download/article-file/4008730
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author Barış Özkan
Aykut Çağlar
Orhan Dengiz
author_facet Barış Özkan
Aykut Çağlar
Orhan Dengiz
author_sort Barış Özkan
collection DOAJ
description Soil erosion is a significant issue that threatens to soil in land degradation processes. The soil erodibility factor is a crucial tool for assessing the susceptibility of soils to erosion. The main aim of this study was to compare the results obtained using the Pythagorean Fuzzy-SWARA method which evaluates the impact weights of the criteria considered for the soil erodibility factor of the soils in the micro-basins located in the district of Çarşamba district of Samsun province, with the results obtained using the formula developed by Wischmeier and Smith. To achieve this case, 78 surface soil samples were collected from micro basins and analyzed for organic matter, clay, sand, silt, very fine sand, degree of structure, and hydraulic conductivity parameters. The erodibility factor was then calculated using these data, and spatial distribution maps were created for both methods. In this study, a revised of the Pythagorean Fuzzy-SWARA approach is proposed to calculate the weight values of the criteria. The values were 0.418 for organic matter, 0.227 for clay, 0.120 for degree of structure, 0.100 for hydraulic conductivity, 0.058 for sand, 0.053 for silt, and 0.039 for very fine sand. Soil erodibility values were determined using a linear combination approach, which normalized all parameter values by a standard scoring function. In estimating soil erodibility, our revised Pythagorean Fuzzy-SWARA approach was found to have a significant relationship with the soil erodibility factor method (R2 = 0.691 at the 1% level) compared to the soil erodibility factor method in estimating soil erodibility. Consequently, the method developed here suggests that fuzzy multi-criteria decision-making methods can be an alternative approach for determining the soil erodibility factor.
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spelling doaj-art-ce683b1f6942420ebc2e75c8f614cc1b2025-01-31T10:57:51ZengFaculty of Agriculture, Ankara UniversityJournal of Agricultural Sciences1300-75802025-01-0131118219510.15832/ankutbd.150190745A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility FactorBarış Özkan0https://orcid.org/0000-0001-7767-4087Aykut Çağlar1https://orcid.org/0000-0002-0436-4237Orhan Dengiz2https://orcid.org/0000-0002-0458-6016ONDOKUZ MAYIS ÜNİVERSİTESİONDOKUZ MAYIS ÜNİVERSİTESİONDOKUZ MAYIS ÜNİVERSİTESİSoil erosion is a significant issue that threatens to soil in land degradation processes. The soil erodibility factor is a crucial tool for assessing the susceptibility of soils to erosion. The main aim of this study was to compare the results obtained using the Pythagorean Fuzzy-SWARA method which evaluates the impact weights of the criteria considered for the soil erodibility factor of the soils in the micro-basins located in the district of Çarşamba district of Samsun province, with the results obtained using the formula developed by Wischmeier and Smith. To achieve this case, 78 surface soil samples were collected from micro basins and analyzed for organic matter, clay, sand, silt, very fine sand, degree of structure, and hydraulic conductivity parameters. The erodibility factor was then calculated using these data, and spatial distribution maps were created for both methods. In this study, a revised of the Pythagorean Fuzzy-SWARA approach is proposed to calculate the weight values of the criteria. The values were 0.418 for organic matter, 0.227 for clay, 0.120 for degree of structure, 0.100 for hydraulic conductivity, 0.058 for sand, 0.053 for silt, and 0.039 for very fine sand. Soil erodibility values were determined using a linear combination approach, which normalized all parameter values by a standard scoring function. In estimating soil erodibility, our revised Pythagorean Fuzzy-SWARA approach was found to have a significant relationship with the soil erodibility factor method (R2 = 0.691 at the 1% level) compared to the soil erodibility factor method in estimating soil erodibility. Consequently, the method developed here suggests that fuzzy multi-criteria decision-making methods can be an alternative approach for determining the soil erodibility factor.https://dergipark.org.tr/en/download/article-file/4008730soil erodibilitypythagorean fuzzy setsswararusle-k
spellingShingle Barış Özkan
Aykut Çağlar
Orhan Dengiz
A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
Journal of Agricultural Sciences
soil erodibility
pythagorean fuzzy sets
swara
rusle-k
title A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
title_full A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
title_fullStr A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
title_full_unstemmed A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
title_short A New Innovative Approach with Revised Pythagorean Fuzzy SWARA in Assessing of Soil Erodibility Factor
title_sort new innovative approach with revised pythagorean fuzzy swara in assessing of soil erodibility factor
topic soil erodibility
pythagorean fuzzy sets
swara
rusle-k
url https://dergipark.org.tr/en/download/article-file/4008730
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