Editorial: Fuzzy Big Data-Driven Computational Intelligence Models and Applications DOI Creative Commons
Wentao Li, Hamido Fujita,

Chao Zhang

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

In the contemporary era of technological revolution, intersection fuzzy logic, big data analytics, and computational intelligence has emerged as a vibrant promising research frontier. This special issue on "Fuzzy Big Data-Driven Computational Intelligence Models Applications" aims to provide comprehensive overview latest advancements in this exciting field.

Language: Английский

An enhanced fuzzy IDOCRIW-COCOSO multi-attribute decision making algorithm for decisive electric vehicle battery recycling method DOI Creative Commons

Thirumalai Nallasivan Parthasarathy,

Samayan Narayanamoorthy,

Chakkarapani Sumathi Thilagasree

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102272 - 102272

Published: May 17, 2024

An adaptation to electric mobility quickens waste management tasks for recyclers end-to-end processing of marketed vehicle batteries. Especially lithium-ion batteries play a prominent role in electrifying the world e-transport technology innovation. This research offers multi-attribute decision-making (MADM) structure finding best performance e-vehicle recycling techniques. The structured algorithm combines an advanced stratified MADM strategy with e-transportation optimal evaluates results qualitative attributes and alternatives using weighted-ranking approach. importance is calculated blending dual objective-weighted approaches: entropy CILOS methods, viz., aggregated IDOCRIW ranking determined through COCOSO method hesitation environment. q-rung orthopair picture fuzzy set (q-ROPFS) used cope uncertainty vagueness decision analysis. feasibility robustness suggested were validated different methods by altering crucial ranking-dependent parameters problem.

Language: Английский

Citations

12

Global Analysis of Electric Vehicle Charging Infrastructure and Sustainable Energy Sources Solutions DOI Creative Commons
Sihem Nasri,

Noura Mansouri,

Aymen Mnassri

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(4), P. 194 - 194

Published: March 26, 2025

Recently, the rapid increase in adoption of electric vehicles (EVs) has been driven by considerable technological advancements and a growing focus on environmental sustainability. As consumers governments increasingly recognize EVs as viable alternative to traditional internal combustion engine vehicles, demand for reliable accessible charging infrastructure surged. However, establishing robust network stations is no longer crucial only fulfill demands EV proprietors but also relieve range anxiety improve user convenience, thereby facilitating wider adoption. This paper provides comprehensive global analysis station infrastructure, exploring international standards regulations, various modes, key parameters leading importance RE deployment ES solutions.

Language: Английский

Citations

0

Stratified enhanced interval-valued q-rung orthopair picture bipolar fuzzy decision-making approach for municipal solid waste disposal technique selection DOI

Thirumalai Nallasivan Parthasarathy,

Chakkarapani Sumathi Thilagasree,

T. Jayakumar

et al.

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Language: Английский

Citations

0

Applications of q-Spherical Fuzzy Rough CODAS to the Assessment of a Problem Involving Renewable Energy Site Selection DOI Creative Commons
Ahmad Bin Azim, Asad Ali, Abdul Samad Khan

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 114100 - 114122

Published: Jan. 1, 2024

Language: Английский

Citations

2

Risk assessment in lithium-ion battery circular economy in sustainable supply chain in automotive industry using gray degree of possibility in game theory and MCDM DOI Creative Commons

Mohsen Alizadeh Afroozi,

Mohammad Gramifar,

Babak Hazratifar

et al.

Frontiers in Applied Mathematics and Statistics, Journal Year: 2024, Volume and Issue: 10

Published: Oct. 24, 2024

The Circular Economy of the Automotive Industry’s Sustainable Supply Chain in Case Lithium-Ion Batteries is pioneering environmental protection and ecological resource utilization. In addition to solving problems, this method provides economic benefits by reducing need for raw materials lowering manufacturing costs. However, introducing a circular economy approach lithium-ion battery supply chain has numerous risks challenges. This study addresses these challenges crafting framework that encapsulates involved. It identifies evolving strategies might bring through an integrated Gray Delphi–DEMATEL–ANP method. Furthermore, work introduces Degree Possibility unveil worst-case scenarios risk analysis extends it into zero-sum Game Theory. then formulates improved game model determine optimal mitigating risks. numerical reveals that, according proposed methodology, Environmental Pollution Risk emerges as most critical, with definite weight 0.1525. followed Support Program Deficiency at 0.1452 Improper Waste Management 0.1372.

Language: Английский

Citations

2

Circular Intuitionistic Fuzzy Soft Set Theoretic Approach to Decision Making Problems DOI Creative Commons
Adithya Unni, Sunil Jacob John,

T. Baiju

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 144818 - 144836

Published: Jan. 1, 2024

Language: Английский

Citations

1

Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with fairly variable extended power average operators and GRA-MARCOS DOI
Pingqing Liu, Junxin Shen, Peng Zhang

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 263, P. 125703 - 125703

Published: Nov. 7, 2024

Language: Английский

Citations

1

A Neuro Decision-Making Approach for Prioritizing Circular Economy Criteria in Sustainable Smart Cities DOI Creative Commons

Gang Kou,

Hasan Dınçer, Serhat Yüksel

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40354 - e40354

Published: Nov. 1, 2024

Sustainable cities are crucial in establishing effective waste management systems and minimizing environmental pollution. For to be sustainable, different aspects need considered, such as technological development, clean energy usage, efficiency. However, taking the most important actions is essential because of very high cost that will arise, this situation causes countries have budget deficit problems. In other words, there a significant for new study makes priority analysis with respect circular economy-based criteria smart cities. Accordingly, aims identify factors improve sustainable using novel decision-making model. First, determinants were evaluated trial evaluation laboratory (DEMATEL) technique based on quantum spherical fuzzy sets (QASH) facial expressions decision-makers. Second, investment choices ranked according order preference by similarity ideal solution (TOPSIS) approach. addition, comparative ranking results constructed together sensitivity analysis. The extended VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) compared TOPSIS their results. main contribution appropriate strategies determined an original methodology A developed name neuro decision-making. According analysis, findings found reliable relevant. Resource efficiency critical factor improving Constructing buildings strategy increasing Necessary should taken minimize unconscious water use. New developments quickly adapted businesses. way, it would possible perform same work amount less water. purpose, both provide necessary training emphasize importance these issues television advertisements.

Language: Английский

Citations

1

Application of a Decision-making Approach Based on Factor Analysis and DEMATEL for Evaluating Challenges of Adopting Electric Vehicles DOI Open Access
Mehdi Keshavarz-Ghorabaee

The Open Transportation Journal, Journal Year: 2024, Volume and Issue: 18(1)

Published: Sept. 11, 2024

Background Electric vehicles (EVs) are important as they decrease air pollution, lessen reliance on fossil fuels, and significantly contribute to cutting greenhouse gas emissions. The use of EVs in promoting a sustainable life reducing the harmful effects climate change is very beneficial environment public health. Objective purpose this research evaluate potential challenges adoption electric Iran. To end, set categorized, interrelation significance these examined. Methods categorize adopting EVs, exploratory factor analysis used, relationship between them rank based their importance, DEMATEL (Decision Making Trial Evaluation Laboratory) method, which Multi-Criteria Decision-Making (MCDM) technique, employed. Results results statistical show that can be divided into three categories: social, economic, technological. Furthermore, method indicate most impactful follows: two social challenges, “Lack government support promote EVs” willingness resistance new EV technologies,” one technological challenge, “Immature advancement battery technologies.” Conclusion This provides insights evaluating vehicles. findings assist decision-makers developing transportation understanding relationships significance. study serves foundation for policymakers industry stakeholders navigate through complex landscape vehicle adoption.

Language: Английский

Citations

0

Editorial: Fuzzy Big Data-Driven Computational Intelligence Models and Applications DOI Creative Commons
Wentao Li, Hamido Fujita,

Chao Zhang

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 7, 2024

In the contemporary era of technological revolution, intersection fuzzy logic, big data analytics, and computational intelligence has emerged as a vibrant promising research frontier. This special issue on "Fuzzy Big Data-Driven Computational Intelligence Models Applications" aims to provide comprehensive overview latest advancements in this exciting field.

Language: Английский

Citations

0