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Tang, Guolin; Zhang, Tangzhu; Lv, Yingting; Liu, Peide (2025) Modeling linguistic intuitionistic fuzzy preference into the consensus and dissent framework of graph model for conflict resolution and its application. Information Sciences, 717. doi:10.1016/j.ins.2025.122288

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Reference TypeJournal (article/letter/editorial)
TitleModeling linguistic intuitionistic fuzzy preference into the consensus and dissent framework of graph model for conflict resolution and its application
JournalInformation Sciences
AuthorsTang, GuolinAuthor
Zhang, TangzhuAuthor
Lv, YingtingAuthor
Liu, PeideAuthor
Year2025 (November)Volume717
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2025.122288Search in ResearchGate
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Mindat Ref. ID18441505Long-form Identifiermindat:1:5:18441505:2
GUID0
Full ReferenceTang, Guolin; Zhang, Tangzhu; Lv, Yingting; Liu, Peide (2025) Modeling linguistic intuitionistic fuzzy preference into the consensus and dissent framework of graph model for conflict resolution and its application. Information Sciences, 717. doi:10.1016/j.ins.2025.122288
Plain TextTang, Guolin; Zhang, Tangzhu; Lv, Yingting; Liu, Peide (2025) Modeling linguistic intuitionistic fuzzy preference into the consensus and dissent framework of graph model for conflict resolution and its application. Information Sciences, 717. doi:10.1016/j.ins.2025.122288
In(2025) Information Sciences Vol. 717. Elsevier BV

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See Also

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Liu, Peide, Qiu, Xiaohan, Pan, Qian, Wu, Xiaoming (2025) Graph model for conflict resolution with hybrid information based on prospect theory and PROMETHEE method and its application in water resources conflict. Information Sciences, 689. doi:10.1016/j.ins.2024.121498
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Liu, Peide, Wang, Xue, Fu, Yingxin, Wang, Peng (2024) Graph model for conflict resolution based on the combination of probabilistic uncertain linguistic and EDAS method. Information Sciences, 660. 120116 doi:10.1016/j.ins.2024.120116
Liu, Peide, Fu, Yingxin, Wang, Peng, Wu, Xiaoming (2025) Multi-Attribute evaluation-based graph model for conflict resolution considering heterogeneous behaviors. Information Sciences, 686. doi:10.1016/j.ins.2024.121386
Li, Shengli; Sang, Yuzheng; Zhao, Na; Liu, Peide; Wei, Cuiping (2025) A preference analysis-based consensus model for multiple criteria linguistic group decision making considering personalized individual semantics. Information Sciences, 714. doi:10.1016/j.ins.2025.122210
Liu, Peide, Jin, Fang (2012) Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making. Information Sciences, 205. 58-71 doi:10.1016/j.ins.2012.04.014
Liu, Peide, Dang, Ran, Wang, Peng, Wu, Xiaoming (2023) Unit consensus cost-based approach for group decision-making with incomplete probabilistic linguistic preference relations. Information Sciences, 624. 849-880 doi:10.1016/j.ins.2022.12.114
Zhang, Liyuan, Yang, Ziyu, Li, Tao (2023) Group decision making with incomplete interval-valued linguistic intuitionistic fuzzy preference relations. Information Sciences, 647. 119451 doi:10.1016/j.ins.2023.119451
Zhang, Zhiming, Chen, Shyi-Ming (2019) A consistency and consensus-based method for group decision making with hesitant fuzzy linguistic preference relations. Information Sciences, 501. 317-336 doi:10.1016/j.ins.2019.05.086
Zhang, Hengjie, Zhang, Rong, Liu, Juan, Zhu, Yan (2025) Strategic manipulation behavior in graph model for conflict Resolution: The role of social trust network. Information Sciences, 686. doi:10.1016/j.ins.2024.121313
Liu, Peide, Zhang, Kuo, Wang, Peng, Wang, Fubin (2022) A clustering- and maximum consensus-based model for social network large-scale group decision making with linguistic distribution. Information Sciences, 602. 269-297 doi:10.1016/j.ins.2022.04.038
 
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