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Depicting Decision-Making: A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Goal-Driven Simulation in the Workforce Allocation Domain.

, , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)

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Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability., , , and . FUZZ-IEEE, page 1-8. IEEE, (2021)A novel approach on the joint de-identification of textual and relational data with a modified mondrian algorithm., , , and . DocEng, page 14:1-14:10. ACM, (2021)Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI., , , and . FUZZ-IEEE, page 1-6. IEEE, (2020)Ensemble-Based Relationship Discovery in Relational Databases., , , , , and . SGAI Conf., volume 12498 of Lecture Notes in Computer Science, page 286-300. Springer, (2020)Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution., , , , , , and . CEEC, page 19-23. IEEE, (2018)Predicting Bid Success with a Case-Based Reasoning Approach: Explainability and Business Acceptance., and . SGAI Conf., volume 11927 of Lecture Notes in Computer Science, page 462-467. Springer, (2019)Facility location problem and permutation flow shop scheduling problem: a linked optimisation problem., , , , , and . GECCO Companion, page 735-738. ACM, (2022)Job Assignment Problem and Traveling Salesman Problem: A Linked Optimisation Problem., , , , , and . SGAI Conf., volume 13652 of Lecture Notes in Computer Science, page 19-33. Springer, (2022)Improving Goal-Driven Simulation Performance Using Fuzzy Membership Correlation Analysis., , , and . CEEC, page 254-259. IEEE, (2018)A hybrid metaheuristic approach to a real world employee scheduling problem., , , , , , and . GECCO, page 1311-1318. ACM, (2019)