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Radko
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Weights generation models based on acceptance degrees in decision-making
International Journal
Year of publication
2024
Volume
486
Pagination
108972
DOI
https://doi.org/10.1016/j.fss.2024.108972
Journal
Fuzzy Sets and Systems
Jin, L. S., et al. «Weights Generation Models Based On Acceptance Degrees In Decision-Making». Fuzzy Sets And Systems, 2024, p. 108972.
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Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame
International Journal
Year of publication
2024
Volume
8
Issue
2
Pagination
1102 - 1109
DOI
10.1109/TETCI.2023.3332557
Journal
IEEE Transactions on Emerging Topics in Computational Intelligence
Jin, L. S., et al. «Aggregation Of Basic Uncertain Information With Two-Step Aggregation Frame». Ieee Transactions On Emerging Topics In Computational Intelligence, 2024, pp. 1102 - 1109.
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Ordered weighted averaging operators for basic uncertain information granules
International Journal
Year of publication
2023
Volume
645
Pagination
119357
DOI
https://doi.org/10.1016/j.ins.2023.119357
Journal
Information Sciences
ISSN Number
0020-0255
URL
https://www.sciencedirect.com/science/article/pii/S0020025523009428
Jin, L. S., et al. «Ordered Weighted Averaging Operators For Basic Uncertain Information Granules». Information Sciences, 2023, p. 119357.
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Averaging aggregation under uncertainty and bipolar preference environments
International Journal
Year of publication
2023
Volume
27
Pagination
8153–8159
DOI
10.1007/s00500-023-08152-6
Journal
SOFT COMPUTING
ISSN Number
1432-7643
Jin, L. S., et al. «Averaging Aggregation Under Uncertainty And Bipolar Preference Environments». Soft Computing, 2023, pp. 8153–8159 .
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Bi-polar preference based weights allocation with incomplete fuzzy relations
International Journal
Year of publication
2023
Volume
621
Pagination
308-318
DOI
https://doi.org/10.1016/j.ins.2022.11.097
Journal
Information Sciences
ISSN Number
0020-0255
URL
https://www.sciencedirect.com/science/article/pii/S0020025522013883
Jin, L. S., et al. «Bi-Polar Preference Based Weights Allocation With Incomplete Fuzzy Relations». Information Sciences, 2023, pp. 308-318.
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