Integrated Uncertainty in Knowledge Modelling and Decision Making

1. Front Matter

   Pages I-XXII

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2. Uncertainty Management and Decision Support

   1. Front Matter

      Pages 1-1

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   2. A Granularity Approach to Vague Quantification

      • Christian G. Fermüller

      Pages 3-14

   3. Linguistic Summarization Based on the Inherent Semantics of Linguistic Words

      • Thi Lan Pham, Cam Ha Ho, Cat Ho Nguyen

      Pages 15-26

   4. Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas

      • Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan

      Pages 27-38

   5. Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy

      • Bingyi Kang, Yong Deng

      Pages 39-47

   6. Measuring Efficiency Intervals in Multiple Groups with Privacy Concerns

      • Tomoe Entani

      Pages 48-59

   7. An Evidence Theoretic Approach to Interval Analytic Hierarchy Process

      • Masahiro Inuiguchi

      Pages 60-71

3. Clustering and Classification

   1. Front Matter

      Pages 73-73

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   2. Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms

      • Sadaaki Miyamoto, Van-Nam Huynh, Shuhei Fujiwara

      Pages 75-86

   3. An Efficient Clustering Algorithm Based on Grid Density and its Application in Human Mobility Analysis

      • Chonghui Guo, Zhenna Na, Leilei Sun, Xiaoguang Chen

      Pages 87-100

   4. A Multi-class Support Vector Machine Based on Geometric Margin Maximization

      • Yoshifumi Kusunoki, Keiji Tatsumi

      Pages 101-113

   5. A New Context-Based Similarity Measure for Categorical Data Using Information Theory

      • Thanh-Phu Nguyen, Mina Ryoke, Van-Nam Huynh

      Pages 114-125

   6. Vector Representation of Abstract Program Tree for Assessing Algorithm Variety for the Same Purpose

      • Yoshiki Mashima, Kazuhiro Takeuchi

      Pages 126-137

   7. Comparing Sparse Autoencoders for Acquisition of More Robust Bases in Handwritten Characters

      • Takuya Okada, Kazuhiro Takeuchi

      Pages 138-149

4. Machine Learning Applications

   1. Front Matter

      Pages 151-151

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   2. fMKL-DR: A Fast Multiple Kernel Learning Framework with Dimensionality Reduction

      • Thanh Trung Giang, Thanh Phuong Nguyen, Tran Quoc Vinh Nguyen, Dang Hung Tran

      Pages 153-165

   3. An Attention-Based Long-Short-Term-Memory Model for Paraphrase Generation

      • Khuong Nguyen-Ngoc, Anh-Cuong Le, Viet-Ha Nguyen

      Pages 166-178

   4. Deep Neural Network-Based Models for Ranking Question - Answering Pairs in Community Question Answering Systems

      • Van-Tu Nguyen, Anh-Cuong Le

      Pages 179-190

   5. A Hybrid Approach to Answer Selection in Question Answering Systems

      • Phuc H. Duong, Hien T. Nguyen, Duy D. Nguyen, Hao T. Do

      Pages 191-202

This book constitutes the refereed proceedings of the 6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2018, held in Hanoi, Vietnam, in March 2018.
The 39 revised full papers presented in this book were carefully reviewed and selected from 76 initial submissions. The papers are organized in topical sections on uncertainty management and decision support; clustering and classification; machine learning applications; statistical methods; and econometric applications.

• semantics
• commerce
• machine learning
• stock market
• esitmation
• probability
• stock exchange
• SVM
• cluster analysis
• clustering algorithms
• question answering
• classification

• Japan Advanced Institute of Science and Technology, Nomi, Japan

  Van-Nam Huynh

• Osaka University, Osaka, Japan

  Masahiro Inuiguchi

• Hanoi National University of Education, Hanoi, Vietnam

  Dang Hung Tran

• Université de Technologie de Compiègne, Compiègne, France

  Thierry Denoeux

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