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Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2021)A novel approach on the joint de-identification of textual and relational data with a modified mondrian algorithm., , , и . DocEng, стр. 14:1-14:10. ACM, (2021)Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2020)Ensemble-Based Relationship Discovery in Relational Databases., , , , , и . SGAI Conf., том 12498 из Lecture Notes in Computer Science, стр. 286-300. Springer, (2020)Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution., , , , , , и . CEEC, стр. 19-23. IEEE, (2018)A hyper-heuristic approach for the PDPTW., , , , и . GECCO Companion, стр. 196-199. ACM, (2022)Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users., , , , и . SGAI Conf., том 11927 из Lecture Notes in Computer Science, стр. 309-324. Springer, (2019)Depicting Decision-Making: A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Goal-Driven Simulation in the Workforce Allocation Domain., , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2019)Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance., и . SGAI Conf., том 11927 из Lecture Notes in Computer Science, стр. 462-467. Springer, (2019)Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem., , , , , и . SGAI Conf., том 13652 из Lecture Notes in Computer Science, стр. 19-33. Springer, (2022)