Nombre
Xiao-Hong
Apellidos
Pan

Referencias

A novel online reviews-based decision-making framework to manage rating and textual reviews
International Journal
Year of publication
2025
DOI
https://doi.org/10.1016/j.eswa.2024.125367
Journal
Expert Systems with Applications
Pan, X. -H., et al. «A Novel Online Reviews-Based Decision-Making Framework To Manage Rating And Textual Reviews». Expert Systems With Applications, 2025.
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A novel interval type-2 fuzzy consensus reaching process model and group decision-making method for renewable energy investment
International Journal
Year of publication
2024
Volume
133
Pagination
108422
DOI
https://doi.org/10.1016/j.engappai.2024.108422
Journal
Engineering Applications of Artificial Intelligence
ISSN Number
0952-1976
URL
https://www.sciencedirect.com/science/article/pii/S0952197624005803
Wang, S., et al. «A Novel Interval Type-2 Fuzzy Consensus Reaching Process Model And Group Decision-Making Method For Renewable Energy Investment». Engineering Applications Of Artificial Intelligence, 2024, p. 108422.
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A novel Multi-Criteria Decision Making framework based on Evidential Reasoning dealing with missing information from online reviews
International Journal
Year of publication
2024
Volume
106
Pagination
102264
DOI
https://doi.org/10.1016/j.inffus.2024.102264
Journal
Information Fusion
ISSN Number
1566-2535
URL
https://www.sciencedirect.com/science/article/pii/S1566253524000423
He, S. -F., et al. «A Novel Multi-Criteria Decision Making Framework Based On Evidential Reasoning Dealing With Missing Information From Online Reviews». Information Fusion, 2024, p. 102264.
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Interval Type-2 Fuzzy Decision Analysis Framework Based on Online Textual Reviews
Year of Publicaion
2023
Book Title
Advances in Complex Decision Making
Pagination
66-87
Publisher
Chapman and Hall/CRC
DOI
https://doi.org/10.1201/9781003340621-5
Pan, X. -H., et al. «Interval Type-2 Fuzzy Decision Analysis Framework Based On Online Textual Reviews». Advances In Complex Decision Making , Chapman and Hall/CRC , 2023, pp. 66-87.
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An interval type-2 fuzzy ORESTE method for waste-to-energy plant site selection: A case study in China
International Journal
Year of publication
2023
Volume
136
Pagination
110092
DOI
https://doi.org/10.1016/j.asoc.2023.110092
Journal
Applied Soft Computing
ISSN Number
1568-4946
URL
https://www.sciencedirect.com/science/article/pii/S1568494623001102
Pan, X. -H., et al. «An Interval Type-2 Fuzzy Oreste Method For Waste-To-Energy Plant Site Selection: A Case Study In China». Applied Soft Computing, 2023, p. 110092.
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A Large Scale Group Three-Way Decision-based consensus model for site selection of New Energy Vehicle charging stations
International Journal
Year of publication
2023
Volume
214
Pagination
119107
DOI
https://doi.org/10.1016/j.eswa.2022.119107
Journal
Expert Systems with Applications
ISSN Number
0957-4174
URL
https://www.sciencedirect.com/science/article/pii/S095741742202125X
Wang, Y. -M., et al. «A Large Scale Group Three-Way Decision-Based Consensus Model For Site Selection Of New Energy Vehicle Charging Stations». Expert Systems With Applications, 2023, p. 119107.
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A New Decision-Making Framework for Site Selection of Electric Vehicle Charging Station with Heterogeneous Information and Multi-Granular Linguistic Terms
International Journal
Year of publication
2023
Pagination
1-15
DOI
10.1109/TFUZZ.2022.3214104
Journal
IEEE Transactions on Fuzzy Systems
Wang, Y. -M., et al. «A New Decision-Making Framework For Site Selection Of Electric Vehicle Charging Station With Heterogeneous Information And Multi-Granular Linguistic Terms». Ieee Transactions On Fuzzy Systems, 2023, pp. 1-15.
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A novel interval-valued three-way decision theory under multiple criteria environment
International Journal
Year of publication
2022
Volume
253
Pagination
109522
DOI
https://doi.org/10.1016/j.knosys.2022.109522
Journal
Knowledge-Based Systems
ISSN Number
0950-7051
URL
https://www.sciencedirect.com/science/article/pii/S0950705122007675
Pan, X. -H., et al. «A Novel Interval-Valued Three-Way Decision Theory Under Multiple Criteria Environment». Knowledge-Based Systems, 2022, p. 109522.
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