First name
Peiwu
Last name
Dong

Referencias

A novel framework for FMEA using evidential BWM and SMAA-MARCOS method
International Journal
Year of publication
2024
Author
Yanbing Ju
Qian Zhao
Luis Martínez
Yuanyuan Liang
Jinhua Dong
Peiwu Dong
Mihalis Giannakis
Volume
243
Pagination
122796
Keywords
Failure mode and effect analysis
Dempster–Shafer theory
Stochastic multi-objective acceptability analysis
Best-worst method
Measurement of alternatives and ranking according to compromise solution
DOI
https://doi.org/10.1016/j.eswa.2023.122796
Journal
Expert Systems with Applications
ISSN Number
0957-4174
URL
https://www.sciencedirect.com/science/article/pii/S0957417423032980
Ju, Y., et al. “A Novel Framework For Fmea Using Evidential Bwm And Smaa-Marcos Method”. Expert Systems With Applications, 2024, p. 122796.
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A sentiment analysis-based two-stage consensus model of large-scale group with core-periphery structure
International Journal
Year of publication
2023
Author
Yuanyuan Liang
Yanbing Ju
Peiwu Dong
Xiao-Jun Zeng
Luis Martínez
Jinhua Dong
Aihua Wang
Volume
622
Pagination
808-841
Keywords
Large-scale group decision making
Core-periphery structure
prospect theory
Consensus building
Sentiment analysis
DOI
https://doi.org/10.1016/j.ins.2022.11.147
Journal
Information Sciences
ISSN Number
0020-0255
URL
https://www.sciencedirect.com/science/article/pii/S0020025522014499
Liang, Y., et al. “A Sentiment Analysis-Based Two-Stage Consensus Model Of Large-Scale Group With Core-Periphery Structure”. Information Sciences, 2023, pp. 808-841.
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A multi-granular linguistic distribution-based group decision making method for renewable energy technology selection
International Journal
Year of publication
2022
Author
Yingying Liang
Yanbing Ju
Luis Martínez
Peiwu Dong
Aihua Wang
Volume
116
Pagination
108379
Keywords
Renewable energy technology selection
Linguistic distribution assessments
LINMAP method
Multiple criteria group decision making
Multi-granular linguistic information
DOI
https://doi.org/10.1016/j.asoc.2021.108379
Journal
Applied Soft Computing
ISSN Number
1568-4946
URL
https://www.sciencedirect.com/science/article/pii/S1568494621011467
Liang, Y., et al. “A Multi-Granular Linguistic Distribution-Based Group Decision Making Method For Renewable Energy Technology Selection”. Applied Soft Computing, 2022, p. 108379.
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The SMAA-TWD model: A novel stochastic multi-attribute three-way decision with interrelated attributes in triangular fuzzy information systems
International Journal
Year of publication
2022
Author
Qian Zhao
Yanbing Ju
Luis Martínez
Peiwu Dong
Jingfeng Shan
Volume
618
Pagination
14-38
DOI
https://doi.org/10.1016/j.ins.2022.10.117
Journal
Information Sciences
ISSN Number
0020-0255
URL
https://www.sciencedirect.com/science/article/pii/S0020025522012439
Zhao, Q., et al. “The Smaa-Twd Model: A Novel Stochastic Multi-Attribute Three-Way Decision With Interrelated Attributes In Triangular Fuzzy Information Systems”. Information Sciences, 2022, pp. 14-38.
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Sustainable evaluation of energy storage technologies for wind power generation: A multistage decision support framework under multi-granular unbalanced hesitant fuzzy linguistic environment
International Journal
Year of publication
2022
Author
Yuanyuan Liang
Yanbing Ju
Peiwu Dong
Luis Martínez
Xiao-Jun Zeng
Ernesto Santibanez Gonzalez
Mihalis Giannakis
Jinhua Dong
Aihua Wang
Volume
131
Pagination
109768
Keywords
Energy storage technology
Multi-granular unbalanced hesitant fuzzy linguistic information
Multi-criteria group decision making
Best-worst method
Double parameters TOPSIS
DOI
https://doi.org/10.1016/j.asoc.2022.109768
Journal
Applied Soft Computing
ISSN Number
1568-4946
URL
https://www.sciencedirect.com/science/article/pii/S1568494622008171
Liang, Y., et al. “Sustainable Evaluation Of Energy Storage Technologies For Wind Power Generation: A Multistage Decision Support Framework Under Multi-Granular Unbalanced Hesitant Fuzzy Linguistic Environment”. Applied Soft Computing, 2022, p. 109768.
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SMAA–Bicapacity–Choquet–Regret Model for Heterogeneous Linguistic MCDM With Interactive Criteria With Bipolar Scale and 2-Tuple Aspirations
International Journal
Year of publication
2022
Author
Qian Zhao
Yanbing Ju
Luis Martínez
Witold Pedrycz
Peiwu Dong
Aihua Wang
Volume
30
Pagination
4384-4398
DOI
10.1109/TFUZZ.2022.3149401
Journal
IEEE Transactions on Fuzzy Systems
Number
10
Zhao, Q., et al. “Smaa–Bicapacity–Choquet–Regret Model For Heterogeneous Linguistic Mcdm With Interactive Criteria With Bipolar Scale And 2-Tuple Aspirations”. Ieee Transactions On Fuzzy Systems, 10, 2022, pp. 4384-4398.
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"A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information"
International Journal
Year of publication
2020
Author
Yanbing Ju
Yuanyuan Liang
Luis Martínez
Aihua Wang
Chen-Fu Chien
Peiwu Dong
Ernesto Santibanez Gonzalez
Volume
148
Pagination
"106659"
Keywords
Failure mode and effects analysis
linguistic distribution assessment
Linguistic distribution assessment Shapley Choquet ordered average operator
DOI
"https://doi.org/10.1016/j.cie.2020.106659"
Journal
"Computers & Industrial Engineering"
ISSN Number
"0360-8352"
URL
"http://www.sciencedirect.com/science/article/pii/S0360835220303934"
Ju, Y., et al. “"A New Approach For Heterogeneous Linguistic Failure Mode And Effect Analysis With Incomplete Weight Information"”. "Computers & Industrial Engineering", 2020, p. "106659".
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A new framework for health-care waste disposal alternative selection under multi-granular linguistic distribution assessment environment
International Journal
Year of publication
2020
Author
Yanbing Ju
Yuanyuan Liang
Luis Martínez
Ernesto Santibanez Gonzalez
Mihalis Giannakis
Peiwu Dong
Aihua Wang
Volume
145
Pagination
106489
DOI
https://doi.org/10.1016/j.cie.2020.106489
Journal
Computers & Industrial Engineering
ISSN Number
0360-8352
URL
http://www.sciencedirect.com/science/article/pii/S0360835220302230
Ju, Y., et al. “A New Framework For Health-Care Waste Disposal Alternative Selection Under Multi-Granular Linguistic Distribution Assessment Environment”. Computers & Industrial Engineering, 2020, p. 106489.
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