Modeling Decisions for Artificial Intelligence

1. Front Matter

   Pages i-xix

   PDF

2. Aggregation Operators and Decision Making

   1. Front Matter

      Pages 1-1

      PDF

   2. General Chebyshev Type Inequality for Seminormed Fuzzy Integral

      • Michał Boczek, Anton Hovana, Ondrej Hutník

      Pages 3-16

   3. Convergence in Measure Theorems of the Choquet Integral Revisited

      • Jun Kawabe

      Pages 17-28

   4. Risk-Sensitive Markov Decision Under Risk Constraints with Coherent Risk Measures

      • Yuji Yoshida

      Pages 29-40

   5. Set-Based Extended Functions

      • Radko Mesiar, Anna Kolesárová, Adam Šeliga, Javier Montero, Daniel Gómez

      Pages 41-51

   6. Fuzzy Confirmation Measures (a)symmetry Properties

      • Emilio Celotto, Andrea Ellero, Paola Ferretti

      Pages 52-63

   7. Fake News Detection in Microblogging Through Quantifier-Guided Aggregation

      • Marco De Grandis, Gabriella Pasi, Marco Viviani

      Pages 64-76

   8. Individual, Coalitional and Structural Influence in Group Decision-Making

      • Hang Luo

      Pages 77-91

   9. Betweenness Spaces: Morphism and Aggregation Functions

      • Marta Cardin

      Pages 92-97

   10. On Idempotent n-ary Uninorms

       • Jimmy Devillet, Gergely Kiss, Jean-Luc Marichal

       Pages 98-104

   11. On Aggregation of Risk Levels Using T-Conorms

       • Māris Krastiņš

       Pages 105-112

   12. Towards an Adaptive Defuzzification: Using Numerical Choquet Integral

       • Vicenç Torra, Joaquin Garcia-Alfaro

       Pages 113-125

   13. Uninorms and Nullnorms and their Idempotent Versions on Bounded Posets

       • Martin Kalina

       Pages 126-137

   14. Derivative for Discrete Choquet Integrals

       • Yasuo Narukawa, Vicenç Torra

       Pages 138-147

3. Data Science and Data Mining

   1. Front Matter

      Pages 149-149

      PDF

   2. A Non-Negative Matrix Factorization for Recommender Systems Based on Dynamic Bias

      • Wei Song, Xuesong Li

      Pages 151-163

   3. Forecasting Water Levels of Catalan Reservoirs

      • Raúl Parada, Jordi Font, Jordi Casas-Roma

      Pages 164-176

   4. A Predictive Model for MicroRNA Expressions in Pediatric Multiple Sclerosis Detection

      • Gabriella Casalino, Giovanna Castellano, Arianna Consiglio, Maria Liguori, Nicoletta Nuzziello, Davide Primiceri

      Pages 177-188

   5. On Collaborative Filtering with Possibilistic Clustering for Spherical Data Based on Tsallis Entropy

      • Yuchi Kanzawa

      Pages 189-200

This book constitutes the refereed proceedings of the 16th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2019, held in Milan, Italy, in September 2019.

The 30 papers presented in this volume were carefully reviewed and selected from 50 submissions. They discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: aggregation operators and decision making; data science and data mining; and data privacy and security.

 

• aggregation operator
• anonymization
• artificial intelligence
• cluster
• clustering
• clustering algorithms
• data mining
• data privacy
• data security
• decision support systems
• fuzzy logic
• fuzzy rules
• fuzzy sets
• fuzzy systems
• information retrieval
• knowledge-based system
• privacy preserving
• probability
• recommender systems
• social networks

• Maynooth University, Maynooth, Ireland

  Vicenç Torra

• Tamagawa University, Machida, Tokyo, Japan

  Yasuo Narukawa

• University of Milano-Bicocca, Milan, Italy

  Gabriella Pasi, Marco Viviani