Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)

A Quantum Group Decision-Making Approach for Evaluating Decarbonization Strategies of Highway Infrastructure

Authors
Wenyan Li1, 2, *, Zhilin Zhao1, 2, Jing Ren1, 2
1Xinjiang Academy of Transportation Sciences, Co., Ltd., Urumqi, Xinjiang, 830000, China
2Key Laboratory of Transport Industry of Highway Engineering Technology in Arid Desert Areas, Urumqi, Xinjiang, 830000, China
*Corresponding author. Email: 1820404087@qq.com
Corresponding Author
Wenyan Li
Available Online 19 April 2026.
DOI
10.2991/978-94-6239-652-4_24How to use a DOI?
Keywords
Multi-attribute group decision-making; Trust aggregation; Quantum probability theory; Social network; Shapley value
Abstract

In complex and uncertain group decision-making (GDM) environments, decision-makers’ opinions are often mutually influential, while trust relationships typically exhibit multi-path structures and structural incompleteness. To address these challenges, this paper proposes a quantum GDM framework based on linguistic Z-numbers that explicitly incorporates quantum interference effects. Trust relationships among decision-makers are first aggregated within a quantum probability framework by jointly considering direct trust and trust transmission paths, thereby inferring missing pairwise trust information. Subsequently, an objective optimization model is developed to determine attribute weights by integrating attribute marginal contributions with closeness-based measures. Building on these results, a quantum-like Bayesian network is constructed to model interference effects among decision-makers, through which the quantum probabilities of alternatives are computed and used for ranking. Finally, the applicability of the proposed method is demonstrated through a case study on the decarbonization of highway infrastructure. Sensitivity, comparative, and simulation analyses further confirm the robustness of the proposed approach and its suitability for uncertain GDM scenarios.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
Series
Advances in Computer Science Research
Publication Date
19 April 2026
ISBN
978-94-6239-652-4
ISSN
2352-538X
DOI
10.2991/978-94-6239-652-4_24How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Wenyan Li
AU  - Zhilin Zhao
AU  - Jing Ren
PY  - 2026
DA  - 2026/04/19
TI  - A Quantum Group Decision-Making Approach for Evaluating Decarbonization Strategies of Highway Infrastructure
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 238
EP  - 262
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_24
DO  - 10.2991/978-94-6239-652-4_24
ID  - Li2026
ER  -