Intelligence Science III

Brain Cognition.- Mind Modeling in Intelligence Science.- Some Discussions on Subjectivity of Machine and its Function.- Hexagon of Intelligence.- Uncertain Theory.- Interactive Granular Computing Model for Intelligent Systems.- A framework for the approximation of relations.- Logical treatment of incomplete/uncertain information relying on different systems of rough sets.- Possibility theory and possibilistic logic: Tools for reasoning under and about incomplete information.- Machine Learning.- Similarity-based Rough Sets with Annotation Using Deep Learning.- P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Tasks.- Trilevel Multi-Criteria Decision Analysis based on Three-Way Decision.- Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling.- Granulated Tables with Frequency by Discretization and Their Application.- Data Intelligence.- Person Authentication by Gait Datafrom Smartphone Sensors using Convolutional Autoencoder.- Research on Personal Credit Risk Assessment Model Based on Instance-based Transfer Learning.- Language Cognition.- From Texts to Classification Knowledge.- ANAS Sentence similarity calculation based on automatic neural architecture search.- Fully interval integer transhipment problem- A solution approach.- Vision Cognition.- Novel image compression and deblockingapproach using BPN and Deep neural network architecture.- Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning.- Perceptual Intelligence.- Stability Analysis of Imprecise Prey-Predator Model.- Comparative Performance Study on Human Activity Recognition with Deep Neural Networks.- Intelligent Robot.- Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control.- Application of pinching method to quantify sensitivity of reactivity coefficients on power defect.- Computation with Democracy An