Optimizing cloud resource utilization in the digital economy: An integrated Pythagorean fuzzy-based decision-making approach

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102657 - 102657

Published: June 29, 2024

Language: Английский

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Adaptive multi-criteria decision making for electric vehicles: a hybrid approach based on RANCOM and ESP-SPOTIS

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Aug. 28, 2024

Abstract In today’s globalized technological area, aligning decisions with customer preferences is crucial yet challenging due to the complexities and uncertainties involved. Multi-Criteria Decision Analysis (MCDA) serves as a vital tool for constructing support systems that cater customer-centric trends. While existing MCDA methods vary in their calculation concepts, some prioritize ideal solutions, while others accommodate personalized within dynamic decision contexts. Moreover, determining relevance of criteria based on expert knowledge adds another layer personalization evaluation process, further individualizing decision-making. However, current models often fail integrate these leaving gap how recommendations can be enhanced when both are combined. To address challenges, this paper introduces an innovative approach integrating Ranking Comparison Expected Solution Point Stable Preference Ordering Towards Ideal methods. This hybrid model incorporates into multi-criteria evaluation, catering individual preferences. By representing through two distinct measures, proposed ensures aligned decision-makers’ needs. The efficacy was validated its application electric vehicle selection problem. verification process highlighted potential disparities compared other approaches, establishing consumer preference-based Support System more precise recommendations.

Language: Английский

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Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 134, P. 108662 - 108662

Published: May 28, 2024

Language: Английский

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Decoding rail derailments: Unraveling the weighted factors influencing safety and sustainability using the best-worst method

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102539 - 102539

Published: July 9, 2024

The rail network is essential for sustainable transportation, offering various advantages such as reduced greenhouse gas emissions and congestion relief. However, ensuring safety within the crucial its long-term viability public acceptance. Derailment incidents have significant implications safety, efficiency, sustainability. This study employs Best-Worst Method (BWM) to identify weigh parameters affecting derailment incidents. research methodology involved conducting an extensive literature review extract influential parameters, which were subsequently classified. Additionally, a rigorous data collection process was undertaken ensure reliability of findings. BWM then applied, utilizing expertise five carefully selected domain experts who met specific selection criteria based on their experience reputation in field railway safety. expert panel provided valuable insights determine relative importance identified parameters. calculated weights revealed criticality factors fractures lines, illegal width, unauthorized locomotive speed, defects wagon wheels. Conversely, falling cargo train parts, improper load distribution, subsidence line had relatively lesser influence. results this offer information decision-makers stakeholders industry, facilitating resource allocation implementation targeted strategies enhance

Language: Английский

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Analysis of Green Energy in Sustainable Transportation in Developing Nations through a Decision Support Model

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

Published: Feb. 1, 2025

Language: Английский

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A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 206, P. 123556 - 123556

Published: July 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

Language: Английский

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Multi-attribute decision-making using (p, q)-rung orthopair fuzzy Hamacher interactive aggregation operators

Granular Computing, Journal Year: 2024, Volume and Issue: 9(3)

Published: June 8, 2024

Language: Английский

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Fermatean Fuzzy Dombi Generalized Maclaurin Symmetric Mean Operators for Prioritizing Bulk Material Handling Technologies

Cognitive Computation, Journal Year: 2024, Volume and Issue: 16(6), P. 3096 - 3121

Published: July 31, 2024

Language: Английский

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Fuzzy Soft Topological Numbers with an Operation of Vertex Deletion: A Comparative Study with TOPSIS Method and Its Application in Car Import Decision-making

Cognitive Computation, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 14, 2024

Language: Английский

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Artificial intelligence-based expert weighted quantum picture fuzzy rough sets and recommendation system for metaverse investment decision-making priorities

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Sept. 5, 2024

Language: Английский

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