A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method DOI Creative Commons
Weizhong Wang, Yu Chen, Yi Wang

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 206, С. 123556 - 123556

Опубликована: Июль 14, 2024

The integration of artificial intelligence (AI) with human (HI) has been asserted to provide transformational power across the humanitarian supply chain (HSC). However, there is little rigorous work that analyses enablers promote AI–HI and application in HSC. Thus, this paper reports a hybrid decision support framework for analysing HSC complicated, uncertain, periodic information. First, collect interdependent preference data from experts, complex spherical fuzzy weighted Heronian mean operator distance measures-based optimization model established generate group matrix. Next, measure influence strength enablers, decision-making trial evaluation method determine enabler weights, taking into account their interactive relationships. After that, explore level different participants HSC, measurement alternatives ranking according compromise solution developed by combining former two procedures. Finally, case study analysis presented assess feasibility current method, which includes sensitivity comparison studies. results reveal factor "enhancing efficiency relief operations" (0.084) most important driving integration. outcomes can new understanding key parts

Язык: 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

и другие.

Applied Soft Computing, Год журнала: 2023, Номер 142, С. 110365 - 110365

Опубликована: Май 2, 2023

Язык: Английский

Процитировано

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

и другие.

Information Sciences, Год журнала: 2024, Номер 664, С. 120326 - 120326

Опубликована: Фев. 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

Язык: Английский

Процитировано

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

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 250, С. 123874 - 123874

Опубликована: Март 29, 2024

Язык: Английский

Процитировано

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

Badi Ibrahim,

Yanjun Qiu

и другие.

Journal of Soft Computing and Decision Analytics, Год журнала: 2024, Номер 2(1), С. 71 - 85

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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

и другие.

Applied Sciences, Год журнала: 2022, Номер 13(1), С. 97 - 97

Опубликована: Дек. 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.

Язык: Английский

Процитировано

57
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

и другие.

International Journal of Hydrogen Energy, Год журнала: 2023, Номер 48(73), С. 28601 - 28627

Опубликована: Апрель 21, 2023

Язык: Английский

Процитировано

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

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 235, С. 121134 - 121134

Опубликована: Авг. 11, 2023

Язык: Английский

Процитировано

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

и другие.

Transportation Engineering, Год журнала: 2023, Номер 12, С. 100164 - 100164

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 121705 - 121705

Опубликована: Сен. 25, 2023

Язык: Английский

Процитировано

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

Sensors, Год журнала: 2023, Номер 23(9), С. 4230 - 4230

Опубликована: Апрель 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.

Язык: Английский

Процитировано

25