Strategies for Enhancing Industry 4.0 Adoption in East Africa: An Integrated Spherical Fuzzy SWARA-WASPAS Approach DOI Creative Commons
Yanjun Qiu, Mouhamed Bayane Bouraima, Clement Kiprotich Kiptum

et al.

Journal of Industrial Intelligence, Journal Year: 2023, Volume and Issue: 1(2), P. 87 - 100

Published: June 26, 2023

Developed countries have successfully implemented various Industry 4.0 (I4.0) initiatives, showcasing their ability to reap the benefits of this new industrial revolution. Active pursuit excellence in is evident these nations. However, Africa, many still lack a clear understanding 4.0, with some remaining trapped 1.0 and others facing challenges transitioning 2.0. Moreover, significant number African continue grapple limited access reliable electricity. To address issue, study examines seven strategies identified as criteria for enhancing adoption within East Community (EAC). These are derived from observations initiatives developed countries. Subsequently, used evaluate rank level two specific tackle complex group decision-making, integrates Weighted Aggregated Sum Product Assessment (WASPAS) technique Step-Wise Weight Ratio Analysis (SWARA) spherical fuzzy (SF) framework. The SF-SWARA approach applied determine weight importance criteria, while SF-WASPAS employed based on weighted by SF-SWARA. According findings, it was revealed that education training, research, development, innovation, well public-private partnerships policy three most influential significantly improving community. Furthermore, results indicate Rwanda stands out leading country terms implementing enhance technology. verify reliability suitability proposed methodology, sensitivity analysis conducted, which affirmed stability practicality suggested approach.

Language: Английский

From risks to rewards: A comprehensive guide to sustainable investment decisions in renewable energy using a hybrid facial expression-based fuzzy decision-making approach DOI
Gang Kou, Dragan Pamucar, Hasan Dınçer

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 142, P. 110365 - 110365

Published: May 2, 2023

Language: Английский

Citations

49
Selection of sustainable food suppliers using the Pythagorean fuzzy CRITIC-MARCOS method DOI Creative Commons
Yi Wang, Weizhong Wang, Zelin Wang

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 664, P. 120326 - 120326

Published: Feb. 17, 2024

Sustainable food supplier selection (SFSS) can be handled as an uncertain decision-making issue. The Pythagorean fuzzy set (PFS), a type of non-standard set, offers expanded description space for articulating and data. Accordingly, this paper proposes synthetic decision method-based framework solving the SFSS problem within subjective context. Then, weighted distance measures PFS are introduced to derive importance degrees experts, which provide more objective result. information fusion method with PFS-weighted power average (WPA) operator is form group matrix competent accommodate deviation effect. Next, extended PF-measurement alternatives ranking according compromise solution (MARCOS) integrating PF-criteria through inter-criteria correlation (CRITIC) presented calculate priority each supplier, capture inter-correlations between criteria. Finally, numerical example implemented show application proposed approach. Subsequently, sensitivity analysis parameters comparison among different approaches were conducted test rationality advantages resolving problem. results that reported practical way resolve problems

Language: Английский

Citations

35
Evaluation of sustainable energy systems in smart cities using a Multi-Expert Pythagorean fuzzy BWM & TOPSIS methodology DOI
İrem Otay, Sezi Çevik Onar, Başar Öztayşi

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 250, P. 123874 - 123874

Published: March 29, 2024

Language: Английский

Citations

33
Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa DOI Creative Commons
Mouhamed Bayane Bouraima,

Badi Ibrahim,

Yanjun Qiu

et al.

Journal of Soft Computing and Decision Analytics, Journal Year: 2024, Volume and Issue: 2(1), P. 71 - 85

Published: Jan. 5, 2024

Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure various severe impacts of change. study applied a two-stage model that integrates Step-Wise Weight Assessment Ratio Analysis (SWARA) Weighted Aggregated Sum Product (WASPAS) methods within unique framework under influence spherical fuzzy (SF) conditions. In initial stage, SF-SWARA determines relative importance criteria, while subsequent stage involves SF-WASPAS method rank strategies. most critical challenges are limited access finance inadequacies in data, scenarios, impact models, solution be considered promotion well-coordinated capacity-building programme. Furthermore, comprehensive sensitivity analysis was conducted validate applicability proposed model. not only identifies explains associated risks management African context but also significantly contributes body knowledge by outlining required address these challenges.

Language: Английский

Citations

31
The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges DOI Creative Commons
Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido

et al.

Applied Sciences, Journal Year: 2022, Volume and Issue: 13(1), P. 97 - 97

Published: Dec. 21, 2022

The challenges of urban administration are growing, as the population, automobiles, and cities rise. Making smarter is thus one most effective solutions to issues. A key feature “smart cities” today that they use cutting-edge technology in their infrastructure services. With strategic planning, smart city utilizes its resources efficient manner. reduced expenses enhanced infrastructure, provide residents with more better One these important services can be very helpful managing structural health monitoring (SHM). By combining leading new technologies like Internet Things (IoT) monitoring, last longer work better. thorough examination recent advances SHM for warranted. Bridges parts a city’s building, development, proper maintenance some aspects city. main goal this study look at how artificial intelligence (AI) technologies, drone 3D printers, could used improve current state art systems bridges, including conceptual frameworks, benefits problems, existing methods. An outline role AI other will play bridges future was provided study. Some novel technology-aided research opportunities also highlighted, explained, discussed.

Language: Английский

Citations

58
Performance-emission optimization in a single cylinder CI-engine with diesel hydrogen dual fuel: A spherical fuzzy MARCOS MCGDM based Type-3 fuzzy logic approach DOI
Anirban Tarafdar, Pinki Majumder, Madhujit Deb

et al.

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 48(73), P. 28601 - 28627

Published: April 21, 2023

Language: Английский

Citations

31
A novel interval-valued intuitionistic fuzzy CRITIC-TOPSIS methodology: An application for transportation mode selection problem for a glass production company DOI
Özge Nalan Bilişik,

Nurşah Hafize Duman,

Esra Taş

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 235, P. 121134 - 121134

Published: Aug. 11, 2023

Language: Английский

Citations

31
Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity DOI Creative Commons
Vittorio Astarita, Sina Shaffiee Haghshenas, Giuseppe Guido

et al.

Transportation Engineering, Journal Year: 2023, Volume and Issue: 12, P. 100164 - 100164

Published: Feb. 4, 2023

With more cars on the road and an increasing travel rate, one of main issues in transportation engineering is how to make roads safe. The evaluation level crash severity a significant component safety assessment terms financial personal losses. One most advanced ways control manage traffic information modern management systems through intelligent (ITS). ITS plays big part improving safety. On other hand, machine learning techniques play important role performance. Hence, this study aims predict classification approach. In study, two namely artificial neural network (ANN) Grey Wolf optimization algorithm (GWO)–ANN were developed severity, several performance metrics used assess predictive algorithms' capability. For purpose, some factors that affect considered, including light condition (LC), weekday (W), horizontal alignment (HA), element (RE), type (TC), vehicle (VT), driver gender (DG), average speed (AS) annual daily (AADT). 202 case studies recorded from urban Calabria southern Italy. When comparing proposed GWO–ANN model ANN model, findings clearly demonstrated superiority model.

Language: Английский

Citations

30
An improved FMEA method based on the expert trust network for maritime transportation risk management DOI
Пэйдэ Лю, Yifan Wu, Ying Li

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121705 - 121705

Published: Sept. 25, 2023

Language: Английский

Citations

28
Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review DOI Creative Commons
Omar S. Sonbul, Muhammad Rashid

Sensors, Journal Year: 2023, Volume and Issue: 23(9), P. 4230 - 4230

Published: April 24, 2023

Structural health monitoring (SHM) systems are used to analyze the of infrastructures such as bridges, using data from various types sensors. While SHM consist stages, feature extraction and pattern recognition steps most important. Consequently, signal processing techniques in stage machine learning algorithms play an effective role analyzing bridges. In other words, there exists a plethora algorithms, selection appropriate technique/algorithm is guided by limitations each technique/algorithm. The also depends on requirements terms damage identification level operating conditions. This has provided motivation conduct Systematic literature review (SLR) for structural existing reviews describe current trends field with different focus aspects. However, systematic that presents in-depth comparative study applications bridges does not exist. Furthermore, lack analytical studies investigate several design considerations including techniques, approaches (classification/ regression), operational functionality levels (diagnosis/prognosis) system implementation (data-driven/model-based). this paper identifies 45 recent research practices (during 2016–2023), pertaining through SLR process. First, identified classified into three categories: supervised neural networks combination both. Subsequently, analysis performed category. Moreover, selected (total = 45) made, 25 identified. article explores like process, implementation. It expected outcomes may facilitate researchers practitioners domain during according requirements.

Language: Английский

Citations

25