Intro
Preface
Organization
Contents
AI Logic Foundation
Evidence-Based Argumentation and Its Incremental Semantics
1 Introduction
2 Background
2.1 Abstract Argumentation
2.2 Evidential Support: An Analysis
3 Evidence-Based Argumentation Framework
3.1 The Framework
3.2 Incremental Semantics of EAF
4 Conclusion
References
Non-negative Matrix Factorization Method Based on Mixed Gaussian Kernels
1 Introduction
2 Related Work
3 Proposed Method
3.1 Objective Function
3.2 Optimization Process
3.3 Feature Extraction and Classifier

4 Results
4.1 Datasets Introduction
4.2 Experiments
5 Conclusion
References
Granular Computing Measures for the Classical Formal Concepts and Intuitionistic Fuzzy Formal Concepts
1 Introduction
2 Related Works
3 Preliminaries
3.1 FCA
3.2 IF Sets
4 GrC
5 Formal Context Structure
5.1 Formal Context Structure for the Binary or Classical FCA Methodology
5.2 Formal Context Structure for if Data Used with FCA Methodology
6 GrC Measures for the Binary or Classical Formal Contexts and IF Formal Contexts:
6.1 IG
6.2 COV
6.3 SP

6.4 Unique Index Value (Q)
6.5 Assessing the Granularity in Different Levels of Data
7 Concluding Remarks and Future Works
References
A Novel Multi-view Fuzzy Clustering Algorithm Based on Fuzzy C-Means
1 Introduction
2 Brief Review of Fuzzy C-Means
3 The Proposed Method
3.1 Objective Function
3.2 Optimization
3.3 Fuzzy Assessment
4 Experiments
4.1 Examples Using Toy Datasets
4.2 Experiments for Parameter
4.3 Multi-view Clustering Comparison on Real-World Datasets
5 Conclusions
References
Graph-Based Diagnostic Prediction Model Based on Global Visit Contexts