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Interval Type-2 Fuzzy Logic Based Stacked Autoencoder Deep Neural Network For Generating Explainable AI Models in Workforce Optimization., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2018)Stacked Auto Encoder Based Hybrid Genetic Algorithm for Workforce Optimization., , , и . CEEC, стр. 236-241. IEEE, (2018)A comparison of particle swarm optimization and genetic algorithms for a multi-objective Type-2 fuzzy logic based system for the optimal allocation of mobile field engineers., , , и . CEC, стр. 5068-5075. IEEE, (2016)A multi-objective genetic type-2 fuzzy logic based system for mobile field workforce area optimization., , , и . Inf. Sci., (2016)Work-in-Progress-Using Immersive Virtual Reality in Field Service Telecom Engineers Training., , , , и . iLRN, стр. 1-3. IEEE, (2021)An Interval Type-2 Fuzzy-based System to Create Building Information Management Models from 2D Floor Plan Images., , , , и . FUZZ-IEEE, стр. 1-7. IEEE, (2021)A Type-2 Fuzzy Based Multi-Objective Optimisation for Strategic Network Planning in the Telecommunication Domain., , , и . FUZZ-IEEE, стр. 1-7. IEEE, (2021)A Type-2 Fuzzy Multi-Objective Multi-Chromosomal Optimisation for Capacity Planning within Telecommunication Networks., , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2021)A Fuzzy Rule-based System using a Patch-based Approach for Semantic Segmentation in Floor Plans., , , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2021)A Genetic Algorithm Based Approach for the Simultaneous Optimisation of Workforce Skill Sets and Team Allocation., , , и . SGAI Conf., стр. 253-266. Springer, (2016)