Modeling Decisions for Artificial Intelligence

1. Front Matter

   Pages I-XXVI

   PDF

2. Invited Paper

   1. Front Matter

      Pages 1-1

      PDF

   2. Classifying Large Graphs with Differential Privacy

      • Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt Dubhashi

      Pages 3-17

3. Aggregation Operators and Decision Making

   1. Front Matter

      Pages 19-19

      PDF

   2. Extremal Completions of Triangular Norms Known on a Subregion of the Unit Interval

      • Andrea Mesiarová-Zemánková

      Pages 21-32

   3. The Notion of Pre-aggregation Function

      • Giancarlo Lucca, José Antonio Sanz, Graçaliz Pereira Dimuro, Benjamín Bedregal, Radko Mesiar, Anna Kolesárová et al.

      Pages 33-41

   4. Weighted Quasi-Arithmetic Mean on Two-Dimensional Regions and Their Applications

      • Yuji Yoshida

      Pages 42-53

   5. A Comparison of the GAI Model and the Choquet Integral w.r.t. a k-ary Capacity

      • Christophe Labreuche, Michel Grabisch

      Pages 54-65

   6. Estimating Unknown Values in Reciprocal Intuitionistic Preference Relations via Asymmetric Fuzzy Preference Relations

      • Francisco Chiclana, Raquel Ureña, Hamido Fujita, Enrique Herrera-Viedma

      Pages 66-77

   7. Handling Risk Attitudes for Preference Learning and Intelligent Decision Support

      • Camilo Franco, Jens Leth Hougaard, Kurt Nielsen

      Pages 78-89

   8. Representation of Ordinal Preferences over Infinite Products

      • Marta Cardin

      Pages 90-99

4. Clustering and Similarity

   1. Front Matter

      Pages 101-101

      PDF

   2. Spherical k-Means++ Clustering

      • Yasunori Endo, Sadaaki Miyamoto

      Pages 103-114

   3. On Possibilistic Clustering Methods Based on Shannon/Tsallis-Entropy for Spherical Data and Categorical Multivariate Data

      • Yuchi Kanzawa

      Pages 115-128

   4. A Unified Theory of Fuzzy c-Means Clustering Models with Improved Partition

      • László Szilágyi

      Pages 129-140

5. Data Mining and Data Privacy

   1. Front Matter

      Pages 141-141

      PDF

   2. Effective MVU via Central Prototypes and Kernel Ridge Regression

      • Carlotta Orsenigo

      Pages 143-154

   3. Cooperative Multi-agent Learning in a Large Dynamic Environment

      • Wiem Zemzem, Moncef Tagina

      Pages 155-166

   4. Optimized and Parallel Query Processing in Similarity-Based Databases

      • Petr Krajča

      Pages 167-179

   5. An Evaluation of Edge Modification Techniques for Privacy-Preserving on Graphs

      • Jordi Casas-Roma

      Pages 180-191

This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

• fuzzy logics
• classification
• clustering
• decision making
• fuzzy sets
• logics
• aggregation operators
• artificial intelligence
• data mining
• data privacy
• distributed decision making
• graph mining
• human-system interaction
• manifold learning
• nonlinear dimensionality reduction
• ordered weighted maximum
• parallel data processing
• possibilistic clustering
• privacy
• query optimization

• University of Skövde, Skövde, Sweden

  Vicenc Torra

• Toho Gakuen, Tokyo, Japan

  Torra Narukawa

Policies and ethics