Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with the Dombi extended power aggregation operator and its application in intelligent transportation system data collection scheme selection

Liu, Pingqing; Shen, Junxin; Zhang, Peng

doi:10.1016/j.engappai.2024.108639

Engineering Applications of Artificial Intelligence

2024

DOI: 10.1016/j.engappai.2024.108639

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Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with the Dombi extended power aggregation operator and its application in intelligent transportation system data collection scheme selection

Pingqing Liu,

Junxin Shen,

Peng Zhang

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Cited by 3 publications

References 78 publications

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Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Kara,

Yalcin,

Gurol

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Kara,

Yalcin,

Gurol

et al. 2024

Engineering Applications of Artificial Intelligence

View full text Add to dashboard Cite

Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with fairly variable extended power average operators and GRA-MARCOS

Liu,

Shen,

Zhang

et al. 2025

Expert Systems with Applications

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Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for Mobility and Localization in Intelligent Transportation Systems

Alanazi,

Albekairi,

Abbas

et al. 2024

Sensors

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An intelligent transportation system (ITS) offers commercial and personal movement through the smart city (SC) communication paradigms with hassle-free information sharing. ITS designs and architectures have improved via information and communication technologies in recent years. The information shared through the communication medium in SCs is exposed to adversary risk, resulting in privacy issues. Privacy issues impact the contingent mobility and localization of the ITS path. This paper introduces a novel resilient privacy preserving (RPP) method through presumed secrecy (PS) to provide a robust privacy measure. The privacy of the progressive communication sessions is preserved based on the previous security depletion levels. The interruptions in traffic data-related communication sessions are recurrently identified, and re-handoffs are recommended with dodged transfer learning. The empirical results indicate a 25% reduction in computational overhead and a 30% enhancement in privacy protection over conventional methods, demonstrating the model’s efficacy in secure ITS communication. Compared with existing methods, the proposed approach decreases security depletion rates by 15% across varying traffic densities, underscoring ITS resilience in high-interaction scenarios.

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Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with the Dombi extended power aggregation operator and its application in intelligent transportation system data collection scheme selection

Cited by 3 publications

References 78 publications

Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Enhancing decision support system for finished vehicle logistics service provider selection through a single-valued neutrosophic Dombi Bonferroni-based model

Multi-attribute group decision-making method using single-valued neutrosophic credibility numbers with fairly variable extended power average operators and GRA-MARCOS

Resilient Privacy Preservation Through a Presumed Secrecy Mechanism for Mobility and Localization in Intelligent Transportation Systems

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