Assessing Supplier Disruption Risks Using a Modified Pythagorean Fuzzy SWARA–TOPSIS Approach

Journal of Soft Computing and Decision Analytics, Journal Year: 2024, Volume and Issue: 2(1), P. 169 - 187

Published: April 6, 2024

As the complexity and uncertainty of global supply chains escalate, disruptions have become an increasingly common challenge in chain management. Suppliers, who serve as essential connectors for seamless movement goods materials critical to production distribution, are often at center these disruptions, highlighting their significant impact on overall stability chain. This study proposes innovative approach assessing supplier disruption risks by combining Pythagorean Fuzzy Step-wise Weight Assessment Ratio Analysis (PF-SWARA) with Technique Order Preference Similarity Ideal Solution (PF-TOPSIS). By reviewing literature consulting experts, eight key risk factors were identified. The PF-SWARA method then quantifies significance risks, while a modified PF-TOPSIS technique calculates each supplier’s score, facilitating prioritization suppliers targeted improvement. findings indicate that “natural disasters geopolitical risks,” “financial instability,” “delivery delays” emerge top three factors. Suppliers facing higher should, therefore, formulate improvement strategies target areas.

Language: Английский

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An outranking method for optimizing anti-aircraft missile system with 2-tuple linguistic m-polar fuzzy data

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 132, P. 107923 - 107923

Published: Jan. 29, 2024

Language: Английский

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Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26997 - e26997

Published: March 1, 2024

The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to notable increase waste generation. Consequently, extensive research focused on sustainable disposal methods handle used equipment safely. Given the necessity evaluate these considering qualitative and quantitative criteria, this falls within realm of multi-criteria decision-making (MCDM). This study introduces framework for selecting most suitable treatment methods, taking into account economic, technological, environmental, social aspects. Sixteen criteria were assessed using Fuzzy Preference Selection Index (F-PSI) determine optimal approach. Additionally, Compromise Ranking Alternatives from Distance Ideal Solution (F-CRADIS) method was employed nine technologies disposal. Notably, disinfection efficiency emerged as crucial criterion, with autoclaving identified preferred treatment. A practical case conducted Sivas, Turkey, validates feasibility strategies. Multiple sensitivity analyses performed ensure stability reliability proposed

Language: Английский

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An extension of the best–worst method based on the spherical fuzzy sets for multi-criteria decision-making

Granular Computing, Journal Year: 2024, Volume and Issue: 9(2)

Published: March 30, 2024

Abstract The ambiguous information in multi-criteria decision-making (MCDM) and the vagueness of decision-makers for qualitative judgments necessitate accurate tools to overcome uncertainties generate reliable solutions. As one latest most powerful MCDM methods obtaining criteria weight, best–worst method (BWM) has been developed. Compared other methods, such as analytic hierarchy process, BWM requires fewer pairwise comparisons produces more consistent results. Consequently, main objective this study is develop an extension using spherical fuzzy sets (SFS) address problems under uncertain conditions. Hesitancy, non-membership, membership degrees are three-dimensional functions included SFS. presence three defined allows express their accurately. An optimization model based on nonlinear constraints used determine optimal weight coefficients (SF-BWM). Additionally, a consistency ratio proposed SF-BWM assess reliability comparison versions BWM. examined two numerical problems. results show that provided weights with same priority However, there differences values indicate accuracy obtained advantage providing better ratio. Based comparative analysis, threefold than which leads

Language: Английский

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An integrated Fine-Kinney risk assessment model utilizing Fermatean fuzzy AHP-WASPAS for occupational hazards in the aquaculture sector

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 186, P. 232 - 251

Published: April 6, 2024

Language: Английский

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Multi-attribute decision-making method based on complex T-spherical fuzzy frank prioritized aggregation operators

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25368 - e25368

Published: Feb. 1, 2024

This article aims to introduce new aggregation operators (AOs) by assigning the positive real values known as priority degree among strict levels. To Develop complex T-spherical fuzzy (TSF) frank prioritized (CTSFFP) AOs, using t-norm (FTN) and t-conorm (FTCN) operational laws, also explain sum, product, power operations under TSF information. The set framework has a superior structure for uncertain data handling than an existing intuitionistic (FS), Pythagorean FS (PyFS), q-rung orthopair (q-ROFS), picture (PFS), spherical (SFS). Because of most generalized form IFS, PyFS, q-ROFS, PFS, SFS, it provides greater freedom decision experts information where these discussed sets fail aggregate ambiguous details. Utilizing idea degree, proposed AOs called CTSFFP weighted averaging (CTSFFPWA), ordered (CTSFFPOWA), hybrid (CTSFFPHWA), geometric (CTSFFPWG), (CTSFFPOWG), (CTSFFPHWG) operators. Some desirable properties such idempotency, monotonicity, boundedness, are discussed. show importance real-life problem multi-attribute decision-making (MADM) is solved with help developed CTSFFPWA CTSFFPWG enhance AOs' superiority, compare diagnosed theory give conclusions.

Language: Английский

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Neutrosophic bipolar fuzzy decision-based approach for developing sustainable circular business model innovation tools

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 189, P. 109966 - 109966

Published: Feb. 7, 2024

Language: Английский

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A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108465 - 108465

Published: May 3, 2024

The coronavirus pandemic significantly increased the use of essential medical supplies, resulting in a surge waste generation. This has spurred extensive research into sustainable disposal methods for safe and environmentally responsible equipment management. Addressing this multifaceted issue falls within domain multi-criteria decision-making. study presents comprehensive framework selecting optimal treatment methods, considering economic, technological, environmental, social factors. is first to address problem technology using Fuzzy Dombi Bonferroni. mean operator combine expert opinions, fuzzy preference selection index method evaluate criteria compromise ranking alternatives from distance ideal solution rank alternatives. According weightings, dimension holds highest significance at 0.3217. Disinfection efficiency ranks as most critical criterion, weighing 0.0823. autoclave rated top technique, with utility function value 5.4579. Sensitivity analyses ensured stability reliability models. adaptability applied model practices such energy conversion, material recycling, resource recovery represents an aspect policymaking assessment can guide policy formulation or improvement processes disposal.

Language: Английский

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Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 269, P. 126428 - 126428

Published: Jan. 10, 2025

Language: Английский

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An integrated quantum picture fuzzy rough sets with golden cuts for evaluating carbon footprint-based investment decision policies of sustainable industries

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 155, P. 111428 - 111428

Published: Feb. 24, 2024

Language: Английский

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