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Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment

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  • Zeng, Shouzhen
  • Zhang, Na
  • Zhang, Chonghui
  • Su, Weihua
  • Carlos, Llopis-Albert

Abstract

With the rapid development of instant delivery, the shrinking labor population and prevailing contact-free economy, companies have launched unmanned ground delivery vehicles (UGDVs) to replace human distribution with machines. To meet the requirements for selecting UGDVs and achieve better applications in community delivery, a multi-criteria decision-making (MCDM) framework, combining the self-confidence aggregation approach and social trust network, is proposed in this study. Based on the internal characteristics of UGDVs, a multi-criteria comprehensive evaluation system for UGDVs is constructed. Then, a trust propagation and aggregation mechanism to yield expert weights based on a social trust network is suggested. Further, a self-confidence Pythagorean fuzzy aggregation operator is proposed to enhance the credibility of the decision results and compensate for the defects of existing methods. Finally, a practical case is considered to demonstrate the complete process of the MCDM model and to conduct a comparative analysis and sensitivity analysis of the model.

Suggested Citation

  • Zeng, Shouzhen & Zhang, Na & Zhang, Chonghui & Su, Weihua & Carlos, Llopis-Albert, 2022. "Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:tefoso:v:175:y:2022:i:c:s0040162521008453
    DOI: 10.1016/j.techfore.2021.121414
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    2. Zeng, Shouzhen & Ye, Anqi & Su, Weihua & Chen, Manlei & Llopis-Albert, Carlos, 2024. "Site evaluation of subsea tunnels with sightseeing function based on dynamic complex MARCOS method," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    3. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
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    5. Wu, Qun & Liu, Xinwang & Qin, Jindong & Zhou, Ligang & Mardani, Abbas & Deveci, Muhammet, 2022. "An integrated multi-criteria decision-making and multi-objective optimization model for socially responsible portfolio selection," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Zhang, Chonghui & Jiang, Nanyue & Su, Tiantian & Chen, Ji & Streimikiene, Dalia & Balezentis, Tomas, 2022. "Spreading knowledge and technology: Research efficiency at universities based on the three-stage MCDM-NRSDEA method with bootstrapping," Technology in Society, Elsevier, vol. 68(C).
    7. Srinivas, Sharan & Ramachandiran, Surya & Rajendran, Suchithra, 2022. "Autonomous robot-driven deliveries: A review of recent developments and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    8. Rubio, Francisco & Llopis-Albert, Carlos & Besa, Antonio José, 2023. "Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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