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The Vehicle Allocation Problem (VAP) in the vehicle sales chain has three bottlenecks in practice. The first is to collect relevant cooperation or conflict information, the second is to accurately quantify and analyze other factors affecting the distribution of cars, and the third is to establish a stable and rapid response to the vehicle allocation management method. In order to improve the real-time performance and reliability of vehicle allocation in the vehicle sales chain, it is crucial to find a method that can respond quickly and stabilize the vehicle allocation strategy. Therefore, this paper addresses these issues by extending Group Multi-Role Assignment with Cooperation and Conflict Factors (GMRACCF) from a new perspective. Through the logical reasoning of closure computation, the KD45 logic algorithm is used to find the implicit cognitive Cooperation and Conflict Factors (CCF). Therefore, a collaborative filtering comprehensive evaluation method is proposed to help administrators determine the influence weight of CCFs and Cooperation Scales (CSs) on the all-round performance according to their needs. Based on collaborative filtering, semantic modification is applied to resolve conflicts among qualifications. Large-scale simulation results show that the proposed method is feasible and robust, and provides a reliable decision-making reference in the vehicle sales chain.
H. Zhu, D. Liu, S. Zhang, Y. Zhu, L. Teng, and S. Teng, Solving the many to many assignment problem by improving the Kuhn-Munkres algorithm with backtracking, Theor. Comput. Sci., vol. 618, pp. 30–41, 2016.
H. Zhu, D. Liu, S. Zhang, S. Teng, and Y. Zhu, Solving the group multirole assignment problem by improving the ILOG approach, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 12, pp. 3418–3424, 2017.
H. Zhu, Avoiding conflicts by group role assignment, IEEE Trans. Syst. Man Cybern, Syst., vol. 46, no. 4, pp. 535–547, 2016.
X. Zhu, H. Zhu, D. Liu, and X. Zhou, Criteria making in role negotiation, IEEE Trans. Syst. Man Cybern. Syst., vol. 50, no. 10, pp. 3731–3740, 2020.
H. Zhu, Maximizing Group performance while minimizing budget, IEEE Trans. Syst. Man Cybern, Syst., vol. 50, no. 2, pp. 633–645, 2020.
H. Zhu, Avoiding critical members in a team by redundant assignment, IEEE Trans. Syst. Man Cybern. Syst., vol. 50, no. 7, pp. 2729–2740, 2020.
H. Zhu and M. Zhou, Role-based collaboration and its kernel mechanisms, IEEE Trans. Syst. Man Cybern. Part C Appl. Rev., vol. 36, no. 4, pp. 578–589, 2006.
H. Zhu, M. Zhou, and R. Alkins, Group role assignment via a Kuhn-Munkres algorithm-based solution, IEEE Trans. Syst. Man Cybern. Part A Syst. Hum., vol. 42, no. 3, pp. 739–750, 2012.
H. Zhu, Y. Sheng, X. Zhou, and Y. Zhu, Group role assignment with cooperation and conflict factors, IEEE Trans. Syst. Man Cybern. Syst., vol. 48, no. 6, pp. 851–863, 2018.
R. S. Kreitchmann, F. J. Abad, V. Ponsoda, M. D. Nieto, and D. Morillo, Controlling for response biases in self-report scales: Forced-choice vs. psychometric modeling of likert items, Front. Psychol..
I. Ajzen, T. C. Brown, and F. Carvajal, Explaining the discrepancy between intentions and actions: The case of hypothetical bias in contingent valuation, Pers. Soc. Psychol. Bull., vol. 30, no. 9, pp. 1108–1121, 2004.
P. S. Brenner and J. DeLamater, Li es, damned lies, and survey self-reports? Identity as a cause of measurement bias, Soc. Psychol. Q., vol. 79, no. 4, pp. 333–354, 2016.
L. Fang, K. Wang, Z. Wang, and X. Wen, Disjunctive normal form for multi-agent modal logics based on logical separability, Proc. AAAI Conf. Artif. Intell., vol. 33, no. 1, pp. 2817–2826, 2019.
H. Zhu, M. Hou, and M. Zhou, Adaptive collaboration based on the E-CARGO model, Int. J. Agent Technol. Syst., vol. 4, no. 1, pp. 59–76, 2012.
H. Zhu and M. Zhou, Efficient role transfer based on Kuhn-Munkres algorithm, IEEE Trans. Syst. Man Cybern. Part A Syst. Hum., vol. 42, no. 2, pp. 491–496, 2012.
H. Zhu and M. Zhou, M-M role-transfer problems and their solutions, IEEE Trans. Syst. Man Cybern. Part A Syst. Hum., vol. 39, no. 2, pp. 448–459, 2009.
D. Liu, Y. Yuan, H. Zhu, S. Teng, and C. Huang, Balance preferences with performance in group role assignment, IEEE Trans. Cybern., vol. 48, no. 6, pp. 1800–1813, 2018.
H. Zhu, Social development paradox: An E-CARGO perspective on the formation of the Pareto 80/20 distribution, IEEE Trans. Comput. Soc. Syst., vol. 9, no. 5, pp. 1297–1306, 2022.
Q. Jiang, H. Zhu, Y. Qiao, D. Liu, and B. Huang, Extending Group role assignment with cooperation and conflict factors via KD45 logic, IEEE Trans. Comput. Soc. Syst., vol. 10, no. 1, pp. 178–191, 2023.
H. Wan, B. Fang, and Y. Liu, A general multi-agent epistemic planner based on higher-order belief change, Artificial Intelligence, vol. 301, p. 103562, 2021.
W. Wei, R. Yang, H. Gu, W. Zhao, C. Chen, and S. Wan, Multi-objective optimization for resource allocation in vehicular cloud computing networks, IEEE Trans. Intell. Transp. Syst., vol. 23, no. 12, pp. 25536–25545, 2022.
P. Luong, F. Gagnon, L. -N. Tran, and F. Labeau, Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks, IEEE Trans. Wirel. Commun., vol. 20, no. 11, pp. 7610–7625, 2021.
M. Bristow, L. Fang, and K. W. Hipel, Agent-based modeling of competitive and cooperative behavior under conflict, IEEE Trans. Syst. Man Cybern. Syst., vol. 44, no. 7, pp. 834–850, 2014.
R. N. Almeida and N. David, Signs of heritage—An agent-based model of the dynamics of heritage categories, IEEE Trans. Comput. Soc. Syst., vol. 6, no. 6, pp. 1283–1294, 2019.
R. Mercuur, V. Dignum, and C. M. Jonker, Integrating social practice theory in agent-based models: A review of theories and agents, IEEE Trans. Comput. Soc. Syst., vol. 7, no. 5, pp. 1131–1145, 2020.
A. Trivedi and S. Rao, Agent-based modeling of emergency evacuations considering human panic behavior, IEEE Trans. Comput. Soc. Syst., vol. 5, no. 1, pp. 277–288, 2018.
B. Huang, H. Zhu, D. Liu, N. Wu, Y. Qiao, and Q. Jiang, Solving last-mile logistics problem in spatiotemporal crowdsourcing via role awareness with adaptive clustering, IEEE Trans. Comput. Soc. Syst., vol. 8, no. 3, pp. 668–681, 2021.
H. Zhu, Why did mr. trump oppose globalization? An E-CARGO approach, IEEE Trans. Comput. Soc. Syst., vol. 8, no. 6, pp. 1333–1343, 2021.
D. Liu, B. Huang, and H. Zhu, Solving the tree-structured task allocation problem via group multirole assignment, IEEE Trans. Autom. Sci. Eng., vol. 17, no. 1, pp. 41–55, 2020.
Q. Jiang, H. Zhu, Y. Qiao, D. Liu, and B. Huang, Refugee resettlement by extending group multirole assignment, IEEE Trans. Comput. Soc. Syst., vol. 10, no. 1, pp. 36–47, 2023.
Q. Jiang, D. Liu, H. Zhu, Y. Qiao, and B. Huang, Quasi Group role assignment with role awareness in self-service spatiotemporal crowdsourcing, IEEE Trans. Comput. Soc. Syst., vol. 9, no. 5, pp. 1456–1468, 2022.
Q. Jiang, H. Zhu, Y. Qiao, Z. He, D. Liu, and B. Huang, Agent evaluation in deployment of multi-SUAVs for communication recovery, IEEE Trans. Syst. Man Cybern. Syst., vol. 52, no. 11, pp. 6968–6982, 2022.
D. Liu, Q. Jiang, H. Zhu, and B. Huang, Distributing UAVs as wireless repeaters in disaster relief via group role assignment, Int. J. Coop. Info. Syst., vol. 29, no. 1n02, p. 2040002, 2020.
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