Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform

As the digital landscape continues to evolve, the selection of an appropriate online shop-ping platform has become increasingly crucial for both consumers and businesses. This paper introduces a novel approach that combines the Fermatean fuzzy set theory with the triangular divergence distance measu...

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Main Authors: Mijanur Rahaman Seikh, Arnab Mukherjee
Format: Article
Language:English
Published: Islamic Azad University, Bandar Abbas Branch 2024-11-01
Series:Transactions on Fuzzy Sets and Systems
Subjects:
Online Access:https://sanad.iau.ir/journal/tfss/Article/1127224
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author Mijanur Rahaman Seikh
Arnab Mukherjee
author_facet Mijanur Rahaman Seikh
Arnab Mukherjee
author_sort Mijanur Rahaman Seikh
collection DOAJ
description As the digital landscape continues to evolve, the selection of an appropriate online shop-ping platform has become increasingly crucial for both consumers and businesses. This paper introduces a novel approach that combines the Fermatean fuzzy set theory with the triangular divergence distance measure in Compromise Ranking of Alternatives from Distance to Ideal Solution (CRADIS) method to streamline the decision-making process in online platform selection. Through a comprehensive example, we illustrate the application of this approach in evaluating and ranking four distinct online shopping latforms based on multiple criteria. Through this integrated approach, decision-makers can gain valuable insights into the rela-tive merits of each online shopping platform, allowing them to make informed choices aligned with their preferences and requirements. Furthermore, by accommodating uncertainty and imprecision, the Fermatean fuzzy set theory enhances the robustness of the decision-making process, minimizing the risk of making suboptimal decisions. Overall, this paper demon-strates the practical applicability of Fermatean fuzzy set theory in decision support systems for online platform selection. To demonstrate the proposed method’s applicability, we have compared the results with existing Multi-attribute decision making (MADM) methods. To establish its stability, we conducted a sensitivity analysis. By leveraging the CRADIS method alongside Fermatean fuzzy set theory, decision-makers can navigate the complex landscape of online shopping platforms with greater confidence and efficiency, ultimately leading to more satisfactory outcomes for both consumers and businessesalike.
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spelling doaj-art-eddb81b0a5424e55aa31a350bd80fb9f2024-11-09T06:38:37ZengIslamic Azad University, Bandar Abbas BranchTransactions on Fuzzy Sets and Systems2821-01312024-11-0132108127Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping PlatformMijanur Rahaman SeikhArnab MukherjeeAs the digital landscape continues to evolve, the selection of an appropriate online shop-ping platform has become increasingly crucial for both consumers and businesses. This paper introduces a novel approach that combines the Fermatean fuzzy set theory with the triangular divergence distance measure in Compromise Ranking of Alternatives from Distance to Ideal Solution (CRADIS) method to streamline the decision-making process in online platform selection. Through a comprehensive example, we illustrate the application of this approach in evaluating and ranking four distinct online shopping latforms based on multiple criteria. Through this integrated approach, decision-makers can gain valuable insights into the rela-tive merits of each online shopping platform, allowing them to make informed choices aligned with their preferences and requirements. Furthermore, by accommodating uncertainty and imprecision, the Fermatean fuzzy set theory enhances the robustness of the decision-making process, minimizing the risk of making suboptimal decisions. Overall, this paper demon-strates the practical applicability of Fermatean fuzzy set theory in decision support systems for online platform selection. To demonstrate the proposed method’s applicability, we have compared the results with existing Multi-attribute decision making (MADM) methods. To establish its stability, we conducted a sensitivity analysis. By leveraging the CRADIS method alongside Fermatean fuzzy set theory, decision-makers can navigate the complex landscape of online shopping platforms with greater confidence and efficiency, ultimately leading to more satisfactory outcomes for both consumers and businessesalike.https://sanad.iau.ir/journal/tfss/Article/1127224multi-attribute decision-making fermatean fuzzy set distance measure cradis triangular divergence online shopping platform selection.
spellingShingle Mijanur Rahaman Seikh
Arnab Mukherjee
Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
Transactions on Fuzzy Sets and Systems
multi-attribute decision-making
fermatean fuzzy set
distance measure
cradis
triangular divergence
online shopping platform selection.
title Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
title_full Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
title_fullStr Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
title_full_unstemmed Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
title_short Fermatean Fuzzy CRADIS Approach Based on Triangular Divergence for Selecting Online Shopping Platform
title_sort fermatean fuzzy cradis approach based on triangular divergence for selecting online shopping platform
topic multi-attribute decision-making
fermatean fuzzy set
distance measure
cradis
triangular divergence
online shopping platform selection.
url https://sanad.iau.ir/journal/tfss/Article/1127224
work_keys_str_mv AT mijanurrahamanseikh fermateanfuzzycradisapproachbasedontriangulardivergenceforselectingonlineshoppingplatform
AT arnabmukherjee fermateanfuzzycradisapproachbasedontriangulardivergenceforselectingonlineshoppingplatform