المؤلفون: YW Kerk, CY Teh, KM Tay, Chee Peng Lim

مصطلحات موضوعية: Electrical engineering not elsewhere classified, Artificial intelligence not elsewhere classified, Applied mathematics not elsewhere classified, Science & Technology, Technology, Computer Science, Artificial Intelligence, Engineering, Electrical & Electronic, Mathematical model, Firing, Numerical models, Computational modeling, Fuzzy logic, Absorption, Data models, Aggregation function, boundary condition, fuzzy partition, fuzzy rule base, monotonicity, Takagi-Sugeno-Kang (TSK) fuzzy inference system (FIS), INTERPRETABILITY, MODELS, Takagi-Sugeno-Kang Fuzzy Inference System, 4602 Artificial intelligence, 4605 Data management and data science

Relation: http://hdl.handle.net/10536/DRO/DU:30136380

الاتاحة: http://hdl.handle.net/10536/DRO/DU:30136380
https://figshare.com/articles/journal_contribution/Parametric_Conditions_for_a_Monotone_TSK_Fuzzy_Inference_System_to_be_an_n-Ary_Aggregation_Function/21023437

المؤلفون: CY Teh, YW Kerk, KM Tay, Chee Peng Lim

مصطلحات موضوعية: Electrical engineering not elsewhere classified, Artificial intelligence not elsewhere classified, Applied mathematics not elsewhere classified, degree of monotonicity, monotone data, monotone fuzzy rules, monotone fuzzy rules relabeling, monotonicity test, strong fuzzy partition, system identification, TSK fuzzy inference system, 4602 Artificial intelligence, 4605 Data management and data science

Relation: http://hdl.handle.net/10536/DRO/DU:30111180

الاتاحة: http://hdl.handle.net/10536/DRO/DU:30111180
https://figshare.com/articles/journal_contribution/On_modeling_of_data-driven_monotone_zero-order_TSK_fuzzy_inference_systems_using_a_system_identification_framework/20799196

المؤلفون: CY Teh, KM Tay, Chee Peng Lim

مصطلحات موضوعية: Artificial intelligence not elsewhere classified, Theory of computation not elsewhere classified, Applied mathematics not elsewhere classified, Takagi–Sugeno–Kang fuzzy inference system, Monotonicity property, Monotonicity test, Sufficient conditions, Failure mode and effects analysis, Fuzzy occurrence model, 080108 Neural, Evolutionary and Fuzzy Computation, 4602 Artificial intelligence, 4605 Data management and data science

Relation: http://hdl.handle.net/10536/DRO/DU:30112322; https://figshare.com/articles/journal_contribution/On_the_monotonicity_property_of_the_TSK_fuzzy_inference_system_the_necessity_of_the_sufficient_conditions_and_the_monotonicity_test/20796499

الاتاحة: http://hdl.handle.net/10536/DRO/DU:30112322
https://figshare.com/articles/journal_contribution/On_the_monotonicity_property_of_the_TSK_fuzzy_inference_system_the_necessity_of_the_sufficient_conditions_and_the_monotonicity_test/20796499