Analysis of Green Energy in Sustainable Transportation in Developing Nations through a Decision Support Model DOI
Muhammet Deveci, Ilgın Gökaşar, Yu Chen

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122643 - 122643

Published: Feb. 1, 2025

Language: Английский

CODAS extension using novel decomposed Pythagorean fuzzy sets: Strategy selection for IOT based sustainable supply chain system DOI
Nurşah Alkan, Cengiz Kahraman

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121534 - 121534

Published: Sept. 12, 2023

Language: Английский

Citations

22

Regret-based domination and prospect-based scoring in three-way decision making using q-rung orthopair fuzzy Mahalanobis distance DOI
Arijit Mondal, Sankar Kumar Roy, Muhammet Deveci

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(S2), P. 2311 - 2348

Published: Aug. 30, 2023

Language: Английский

Citations

19

Improved COPRAS Method With Unknown Weights Under p, q-Quasirung Orthopair Fuzzy Environment: Application to Green Supplier Selection DOI Creative Commons
Muhammad Rahim, Yasir Akhtar, Miin‐Shen Yang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 69783 - 69795

Published: Jan. 1, 2024

ABSTRACT In the last few decades, there has been a significant increase in importance of assessing social and ecological implications within industrial product supply chains. This tendency given rise to notion supplier sustainability, which entails meeting economic, environmental, demands all suppliers. The selections are typically based on experts' opinion, then reflected ratings. When examining sustainability indicators, experts may not be fully aware aspects suppliers' social, environmental qualities. Decision Making (DM) approaches such as Pythagorean Fuzzy (PF) q-Rung Orthopair (q-ROF) sets, unable use different powers for membership non-membership grades simultaneously. real-life DM problems, require power levels grades. this paper, we propose new extension COPRAS method under p, q -Quasirung orthopair fuzzy ( –QOF) allow decision-makers by incorporating parameters xmlns:xlink="http://www.w3.org/1999/xlink">p xmlns:xlink="http://www.w3.org/1999/xlink">q . proposed approach, it is assumed that addition compiling expert scores suppliers, issue analyst evaluates each expert's degree expertise criterion. best choice determined combining data using method. Inter-Criteria Correlation (CRITIC) employed determine unknown criteria weights. To demonstrate effectiveness our apply Multi-Criteria Group Decision-Making (MCGDM) problem focused green selection. Finally, conduct comparative study with existing practicality applicability

Language: Английский

Citations

8

A multi-criteria framework for electric vehicle charging location selection using double hierarchy preferences and unknown weights DOI
R. Krishankumar, Fatih Ecer

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108251 - 108251

Published: April 1, 2024

Language: Английский

Citations

7

Evaluating municipal solid waste management with a confidence level-based decision-making approach in q-rung orthopair picture fuzzy environment DOI
P. K. Chatterjee, Mijanur Rahaman Seikh

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: unknown, P. 100708 - 100708

Published: Oct. 1, 2024

Language: Английский

Citations

7

Transportation decisions in supply chain management using interval-valued q-rung orthopair fuzzy soft information DOI Creative Commons
Rana Muhammad Zulqarnain,

Hamza Naveed,

Imran Siddique

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108410 - 108410

Published: April 17, 2024

The selection of a reliable and competent transportation company is typical multi-criteria group decision-making (MCGDM) challenge in supply chain management. MCGDM has been widely used for decision support under ambiguity uncertainty. This paper considers this problem the setting interval-valued q-rung orthopair fuzzy soft sets (IVq-ROFSS), novel extension that presents an integrated approach to interpreting imperfect ambiguous data. study explores Einstein aggregation operators (AOs) model, specifically weighted average (IVq-ROFSEWA) geometric (IVq-ROFSEWG). These can consider large amounts data include all connections among parameters. Their fundamental properties (such as idempotency, boundedness, homogeneity, monotonicity, shift invariance) are presented proven. With assistance new AOs, we design approach. A case choose most endorses rationality credibility proposed technique Hence, research helps with innovative decision-support structure assessing transport corporations.

Language: Английский

Citations

6

IoT-Driven Transformation of Circular Economy Efficiency: An Overview DOI Creative Commons
Zenonas Turskis,

Violeta Šniokienė

Mathematical and Computational Applications, Journal Year: 2024, Volume and Issue: 29(4), P. 49 - 49

Published: June 28, 2024

The intersection of the Internet Things (IoT) and circular economy (CE) creates a revolutionary opportunity to redefine economic sustainability resilience. This review article explores intricate interplay between IoT technologies CE economics, investigating how transforms supply chain management, optimises resources, revolutionises business models. applications boost efficiency, reduce waste, prolong product lifecycles through data analytics, real-time tracking, automation. integration also fosters emergence inventive models, such as product-as-a-service sharing economies, offering benefits novel market opportunities. amalgamation with holds substantial implications for sustainability, advancing environmental stewardship propelling growth within emerging marketplaces. comprehensive unfolds roadmap comprehending implementing pivotal components IoT’s transformation toward nurturing sustainable resilient future. Embracing technologies, authors embark on journey transcending mere heralding an era where progress harmonises full responsibility CE’s promise.

Language: Английский

Citations

6

Development of type-2 Pythagorean fuzzy set with its application to sustainable transport system selection DOI
Biswajit Sarkar, Debjani Chakraborty, Animesh Biswas

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 142, P. 110332 - 110332

Published: April 26, 2023

Language: Английский

Citations

13

An integrated group decision-making method under q-rung orthopair fuzzy 2-tuple linguistic context with partial weight information DOI Creative Commons
Fatima Abbas, Jawad Ali, Wali Khan Mashwani

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0297462 - e0297462

Published: May 20, 2024

Considering the advantages of q-rung orthopair fuzzy 2-tuple linguistic set (q-RFLS), which includes both and numeric data to describe evaluations, this article aims design a new decision-making methodology by integrating Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) qualitative flexible (QUALIFLEX) methods based on revised aggregation operators solve multiple criteria group decision making (MCGDM). To accomplish this, we first revise extant operational laws q-RFLSs make up for their shortcomings. Based novel laws, develop (q-RFL) weighted averaging geometric provide corresponding results. Next, maximization deviation model determine criterion weights in procedure, accounts partial weight unknown information. Then, VIKOR QUALIFLEX methodologies are combined, can assess concordance index each ranking combination using utility individual maximum regret value alternative acquire result permutation’s general values. Consequently, case study is conducted select best bike-sharing recycling supplier utilizing suggested VIKOR-QUALIFLEX MCGDM method, demonstrating method’s applicability availability. Finally, through sensitivity comparative analysis, validity superiority proposed method demonstrated.

Language: Английский

Citations

5

Solving barrier ranking in clean energy adoption: An MCDM approach with q-rung orthopair fuzzy preferences DOI
R. Krishankumar, Dragan Pamučar

International Journal of Knowledge-based and Intelligent Engineering Systems, Journal Year: 2023, Volume and Issue: 27(1), P. 55 - 72

Published: June 30, 2023

With a growing focus from the United Nations to eradicate ill effects of climate change, countries around world are transforming green and sustainable habits/practices. Adoption clean energy for demand satisfaction is prime many as it reduces carbon trace promotes global development. In developing like India, there an urge Literature shows that direct complete adoption incurs some barriers, which impede development nation. Grading such barriers supports policymakers effectively plan strategies, motivates authors put forward novel decision model with integrated approaches. First, qualitative rating data on circular economy (CE) factors collected experts via questionnaires, transformed into q-rung orthopair fuzzy information (qRFI). Second, weights CE determined by proposed variance measure CRITIC. Third, graded ranking algorithm considers modified WAPAS formulation. Finally, these approaches testified practicality using case example India. Sensitivity comparative analyses performed realize merits limitations extant works.

Language: Английский

Citations

12