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Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems.

, , , , , and . IEEE Trans. Fuzzy Syst., 28 (11): 2958-2971 (2020)

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The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy., , , , and . IEEE Trans. Cybern., 51 (4): 2080-2092 (2021)Fast and Effective Learning for Fuzzy Cognitive Maps: A Method Based on Solving Constrained Convex Optimization Problems., , , , , and . IEEE Trans. Fuzzy Syst., 28 (11): 2958-2971 (2020)Long-term prediction of time series using fuzzy cognitive maps., , , and . Eng. Appl. Artif. Intell., (2021)The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy., , , , and . CoRR, (2019)Design of Optical Position Sensor for Sun Tracking., , and . ICIIP, page 2:1-2:6. ACM, (2017)Time Series Modeling with Fuzzy Cognitive Maps based on Partitioning Strategies., , and . FUZZ-IEEE, page 1-6. IEEE, (2021)The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map., , and . Algorithms, 14 (3): 69 (2021)A new fuzzy cognitive maps classifier based on capsule network., , , and . Knowl. Based Syst., (2022)Interval-valued prediction of time series based on fuzzy cognitive maps and granular computing., , , and . Neural Comput. Appl., 36 (9): 4623-4642 (2024)Modeling time series by aggregating multiple fuzzy cognitive maps., , and . PeerJ Comput. Sci., (2021)