Fermatean fuzzy distance and Sugeno–Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain DOI Creative Commons
Adel Fahad Alrasheedi, Pratibha Rani, Arunodaya Raj Mishra

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

The present work proposes a new decision support tool for assessing the sustainable suppliers in healthcare supply chain. For this purpose, classical Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) model is integrated with Sugeno-Weber weighted averaging operators, modified symmetry point criterion (SPC) model, rank sum (RS) Fermatean fuzzy sets (FFSs), named as 'FF-SPC-RS-MARCOS' framework. developed firstly determines experts' weights through RS model. Second, novel operators are introduced combine opinions. Third, unified weighting procedure presented based on combination SPC approach objective weight method subjective attributes. To aim, distance measure FFSs further applied compute between aggregated numbers value an attribute approach. Further, hybrid FF-SPC-RS-MARCOS proposed tackle decision-making problems setting. elucidate efficacy method, it case study supplier selection problem paper conducts sensitivity investigation comparison existent approaches test stability robustness ranking outcomes. This shows how MARCOS models can be used prioritize alternative provides methodology, which help practitioners academics evaluate uncertain information also employed other areas facing similar types problems.

Language: Английский

A multi-dimensional sensitivity analysis approach for evaluating the robustness of renewable energy sources in European countries DOI Creative Commons
Jakub Więckowski, Bartłomiej Kizielewicz, Wojciech Sałabun

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 469, P. 143225 - 143225

Published: July 24, 2024

The necessity of making reliable decisions is exceptionally important in the field sustainable development, particularly when evaluating management renewable energy sources. A thorough analysis becomes imperative complex decision problems where various factors influence outcomes. Multi-Criteria Decision Analysis (MCDA) methods have emerged as valuable tools for addressing such challenges, enabling decision-makers to navigate through conflicting criteria and make informed choices. Combined with sensitivity approaches, comprehensive assessments can be achieved, ensuring robustness decision-making processes. To increase reliability results, different aspects input data fluctuations should examined provide a broader view stability results. This paper proposes multi-dimensional approach assess source (RES) development selected European countries. By RES terms electricity consumption generation, study addresses key components development. It offers holistic perspective on result by analyzing five dimensions: comparative four MCDA methods, varying weights scenarios, probabilistic modifications, relevance identification, ranking stability. enhances providing insights policymakers prioritizing technologies. provided open-source implementation promotes transparency accessibility support systems.

Language: Английский

Citations

10

An optimization model-based DEA-MARCOS approach for assessing EU countries towards achieving sustainable development goals DOI
Abhijit Saha, Arunodaya Raj Mishra, Pratibha Rani

et al.

Environmental Science & Policy, Journal Year: 2024, Volume and Issue: 162, P. 103913 - 103913

Published: Oct. 7, 2024

Language: Английский

Citations

3

Sustainable forest resources management model through Pythagorean fuzzy MEREC–MARCOS approach DOI
Monoj Kumar Mondal, Biplab Sinha Mahapatra,

Manav Bandhu Bera

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Language: Английский

Citations

2

Fermatean fuzzy distance and Sugeno–Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain DOI Creative Commons
Adel Fahad Alrasheedi, Pratibha Rani, Arunodaya Raj Mishra

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

The present work proposes a new decision support tool for assessing the sustainable suppliers in healthcare supply chain. For this purpose, classical Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) model is integrated with Sugeno-Weber weighted averaging operators, modified symmetry point criterion (SPC) model, rank sum (RS) Fermatean fuzzy sets (FFSs), named as 'FF-SPC-RS-MARCOS' framework. developed firstly determines experts' weights through RS model. Second, novel operators are introduced combine opinions. Third, unified weighting procedure presented based on combination SPC approach objective weight method subjective attributes. To aim, distance measure FFSs further applied compute between aggregated numbers value an attribute approach. Further, hybrid FF-SPC-RS-MARCOS proposed tackle decision-making problems setting. elucidate efficacy method, it case study supplier selection problem paper conducts sensitivity investigation comparison existent approaches test stability robustness ranking outcomes. This shows how MARCOS models can be used prioritize alternative provides methodology, which help practitioners academics evaluate uncertain information also employed other areas facing similar types problems.

Language: Английский

Citations

2