Causality analytics among key factors for green economy practices: Implications for sustainable development goals DOI Creative Commons
Koppiahraj Karuppiah,

Bathrinath Sankaranarayanan,

Syed Mithun Ali

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: Aug. 4, 2022

The green economy (GE) concept is believed to have the ability turn natural resources into wealth in a sustainable manner. As result, GE viewed as magic key attainment of development goals (SDGs). This study aims identify and evaluate critical factors practices. Based on literature review industrial interaction, five dimensions factors, namely, economic market, technical R&D, policy regulation, networks social capital, public perceptions, with total 20 were identified evaluated. Fermatean fuzzy system (FFS)-based decision-making trial evaluation laboratory (DEMATEL) technique has been used causality among factors. Results reveal that win-win anticipations, commitment stakeholders, domestic market structure, cost alternatives, financial assistance are top Three classified under cause category, remaining 17 come effect category. contributes by revealing causal interrelationship will guide management take appropriate actions implementation

Language: Английский

New complex proportional assessment approach using Einstein aggregation operators and improved score function for interval-valued Fermatean fuzzy sets DOI
Pratibha Rani, Arunodaya Raj Mishra, Muhammet Deveci

et al.

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 169, P. 108165 - 108165

Published: April 10, 2022

Language: Английский

Citations

69

Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach DOI
Abhijit Saha, Dragan Pamučar, Ömer Faruk Görçün

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 211, P. 118497 - 118497

Published: Aug. 24, 2022

Language: Английский

Citations

66

Identifying and analyzing the barriers of Internet-of-Things in sustainable supply chain through newly proposed spherical fuzzy geometric mean DOI

Zhang Yu,

Syed Abdul Rehman Khan, Manoj Mathew

et al.

Computers & Industrial Engineering, Journal Year: 2022, Volume and Issue: 169, P. 108227 - 108227

Published: May 8, 2022

Language: Английский

Citations

40

An integrated multi-criteria decision-making approach for evaluating e-waste mitigation strategies DOI
Koppiahraj Karuppiah,

Bathrinath Sankaranarayanan

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 144, P. 110420 - 110420

Published: May 27, 2023

Language: Английский

Citations

26

Fermatean fuzzy sets and its extensions: a systematic literature review DOI Creative Commons
Gülçin Büyüközkan, Deniz Uztürk, Öykü Ilıcak

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(6)

Published: May 9, 2024

Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility managing ambiguous information, recent research lacks comprehensive analysis of key FFS areas, applications, gaps, outcomes. This study, conducted through the Scientific Procedures Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration literature, reviewing 135 relevant articles. documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, extensions. Additionally, thematic analysis, facilitated by Bibliometrix tool, is presented to provide nuanced insights future directions areas within literature. study unveils valuable findings, including integration variables with interval-valued FFS, fostering robust environments dynamic decision-making—a mere glimpse potential research. gaps section further articulates recommendations, offering structured foundation researchers enhance understanding chart studies confidently.

Language: Английский

Citations

9

An intensified linear diophantine fuzzy combined DEMATEL framework for the assessment of climate crisis DOI
Jeevitha Kannan,

J. Vimala,

Mahalakshmi Pethaperumal

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 11, 2024

Language: Английский

Citations

8

Ranking Barriers Impeding Sustainability Adoption in Clean Energy Supply Chains: A Hybrid Framework With Fermatean Fuzzy Data DOI Creative Commons
R. Krishankumar,

Niranjana Ramanujam,

Edmundas Kazimieras Zavadskas

et al.

IEEE Transactions on Engineering Management, Journal Year: 2024, Volume and Issue: 71, P. 5506 - 5522

Published: Jan. 1, 2024

In this article, we aim to prioritize barriers hindering sustainability inclusion within clean energy supply chains. Supply chain management is a crucial aspect of the sector, whereby global chains can be enforced with policies adopt sustainability/green practices. The literature infers that adoption not direct, and multiple impede process, driving researchers rank these barriers. Previous studies on prioritizing cannot effectively model uncertainty; experts' reliability directly assigned; interrelationships/hesitation criteria/experts are usually considered; there lack personalized ordering based individuals' preferences. Motivated by gaps, authors put forward an integrated framework Fermatean fuzzy set, variance-based criteria importance through intercriteria correlation for determining weights, ranking procedure complex proportional assessment–Copeland usefulness developed approach testified case example. Results infer wastage/pollution reduction profit from green production two top considered rating barriers, while limited governmental policies, monitoring/control issues, expertise mismatch three impeding adoption. Finally, sensitivity comparative analyses performed understand framework's efficacy.

Language: Английский

Citations

7

A Rough-Fermatean DEMATEL Approach for Sustainable Development Evaluation for the Manufacturing Industry DOI Open Access

Fang-Chen Kao,

Shu-Chin Huang,

Huai-Wei Lo

et al.

International Journal of Fuzzy Systems, Journal Year: 2022, Volume and Issue: 24(7), P. 3244 - 3264

Published: June 18, 2022

Language: Английский

Citations

26

A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment DOI Creative Commons

Wenyao Niu,

Yuan Rong, Liying Yu

et al.

Mathematics, Journal Year: 2022, Volume and Issue: 10(17), P. 3116 - 3116

Published: Aug. 30, 2022

Intercity railway is an important system for the development of urban agglomeration, and site selection Line Management Department Railway (LMDIR) a significant task department when constructing intercity railways. Owing to complexity uncertainty during process, we constructed multiple expert multi-criteria decision making (MEMCDM) method provide rational support model management in Fermatean cubic fuzzy set context. In this regard, innovative extension called sets (FCFSs) that integrates (FFSs) sets; several basic theories FCFSs, including score accuracy functions; distance measures are also given. Then, series Hamacher operators put forward flexibly fuse information, corresponding valuable characteristics these investigated. Thirdly, logarithmic percentage-change-driven objective weighting (LOPCOW) approach recommended based on function recognize importance criteria, similarity-based deployed identify weight information. Fourthly, hybrid MEMCDM methodology integrating proposed operators, LOPCOW method, whose evaluation from average solution (EDAS) regret theory, designed ascertain prioritization schemes. Consequently, empirical test concerning LMDIR shown validate feasibility usefulness approach. The analysis involving sensibility comparison study with prior methods displayed emphasize effectuality advantages propounded method. outcomes demonstrate research possesses superior robustness cope complicated issues. findings show presented can recommend more credible encountering uncertainties abundant impact factors.

Language: Английский

Citations

23

A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies DOI Creative Commons

Md. Zahidul Anam,

Md. Hasibul Islam,

Md. Tamzidul Islam

et al.

Green Technologies and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100197 - 100197

Published: March 1, 2025

Language: Английский

Citations

0