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Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS.

, , , , and . Int. J. Mach. Learn. Cybern., 10 (12): 3499-3520 (2019)

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A State Space Approach to the Inverse of LPTV Filters., , and . ICASSP (3), page 632-635. IEEE, (2006)Superheat Degree Recognition of Aluminum Electrolysis Cell Using Unbalance Double Hierarchy Hesitant Linguistic Petri Nets., , , , and . IEEE Trans. Instrum. Meas., (2023)A method for root cause diagnosis with picture fuzzy sets based dynamic uncertain causality graph., , and . J. Intell. Fuzzy Syst., 41 (1): 387-397 (2021)Hybrid-driven BRBCS-BOM with expert intervention and its application for abnormity recognition in electrolytic cell., , , , , and . Expert Syst. Appl., 238 (Part F): 122227 (March 2024)Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes., , , and . IEEE Trans. Syst. Man Cybern. Syst., 54 (2): 972-984 (February 2024)LDA enhanced one-bit compressive sensing method for high-throughput mass spectrometry data feature selection., , , and . Digit. Signal Process., (August 2023)Root cause analysis for process industry using causal knowledge map under large group environment., , , , , and . Adv. Eng. Informatics, (August 2023)Hydro-metallurgical Process Study on Treating Copper from the Perspective of New Environmental Protection Law., and . ISBDAI, page 215-218. ACM, (2020)A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production., , , , , and . IEEE BigData, page 2679-2684. IEEE, (2018)Reducing Verification Complexity of a Multicore Coherence Protocol Using Assume/Guarantee., , , and . FMCAD, page 81-88. IEEE Computer Society, (2006)