A double rectified linear unit-based modular semantics for QBAFs yields intuitive acceptability degrees, satisfies rationality postulates, and converges for acyclic plus broader cyclic frameworks.
The development of a weighted evolving fuzzy neural network for pcb sales forecasting.Expert Sys- tems with Applications, 32(1):86–96
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Double Rectified Linear Unit-based Modular Semantics for Quantitative Bipolar Argumentation Framework
A double rectified linear unit-based modular semantics for QBAFs yields intuitive acceptability degrees, satisfies rationality postulates, and converges for acyclic plus broader cyclic frameworks.