Fuzzy Logic and Applications

1. Front Matter

   PDF

2. Fuzzy Machine Learning and Interpretability

   1. What Can Fuzzy Cluster Analysis Contribute to Clustering of High-Dimensional Data?

      • Frank Klawonn

      Pages 1-14

   2. Interpretability in Machine Learning – Principles and Practice

      • P. J. G. Lisboa

      Pages 15-21

   3. Interpretability of Fuzzy Systems

      • Corrado Mencar

      Pages 22-35

   4. Feature Selection Based on Fuzzy Mutual Information

      • Michela Antonelli, Pietro Ducange, Francesco Marcelloni

      Pages 36-43

   5. A New Heuristic Function for DC*

      • Marco Lucarelli, Corrado Mencar, Ciro Castiello, Anna Maria Fanelli

      Pages 44-51

   6. Learning Membership Functions for Fuzzy Sets through Modified Support Vector Clustering

      • Dario Malchiodi, Witold Pedrycz

      Pages 52-59

   7. Using Fuzzy Multilayer Perceptrons for the Classification of Time Series

      • Toni Pimentel, Fernando M. Ramos, Sandra Sandri

      Pages 60-67

   8. Imputation of Possibilistic Data for Structural Learning of Directed Acyclic Graphs

      • Maroua Haddad, Nahla Ben Amor, Philippe Leray

      Pages 68-76

   9. Adding Real Coefficients to Łukasiewicz Logic: An Application to Neural Networks

      • Antonio Di Nola, Brunella Gerla, Ioana Leustean

      Pages 77-85

3. Theory

   1. Possibilistic Graphical Models: From Reasoning to Decision Making

      • Nahla Ben Amor

      Pages 86-99

   2. Ranking Triangular Fuzzy Numbers Using Fuzzy Set Inclusion Index

      • Azedine Boulmakoul, Mohamed Haitam Laarabi, Roberto Sacile, Emmanuel Garbolino

      Pages 100-108

   3. Towards Categorical Fuzzy Logic Programming

      • Patrik Eklund, M. Ángeles Galán, Robert Helgesson, Jari Kortelainen, Ginés Moreno, Carlos Vázquez

      Pages 109-121

   4. Probability-Possibility Transformation:

      • Yosra Ben Slimen, Raouia Ayachi, Nahla Ben Amor

      Pages 122-130

   5. The Equation \(\mathcal{I}(\mathcal{S}(x,y),z) = \mathcal{T}(\mathcal{I}(x,z),\mathcal{I}(y,z))\) for t-representable t-conorms and t-norms Generated from Continuous, Archimedean Operations

      • Michał Baczyński

      Pages 131-138

   6. Evaluation and Ranking of Intuitionistic Fuzzy Quantities

      • Luca Anzilli, Gisella Facchinetti, Giovanni Mastroleo

      Pages 139-149

   7. Approximation of Fuzzy Measures Using Second Order Measures: Estimation of Andness Bounds

      • Marta Cardin, Silvio Giove

      Pages 150-160

   8. Neighbor-Based Similarities

      • Stefano Rovetta, Francesco Masulli, Hassan Mahmoud

      Pages 161-170

4. Applications

   1. Model-Based Image Interpretation under Uncertainty and Fuzziness

      • Isabelle Bloch

      Pages 171-183

   2. A Fuzzy System for Background Modeling in Video Sequences

      • Elisa Calvo-Gallego, Piedad Brox, Santiago Sánchez-Solano

      Pages 184-192

This book constitutes the proceedings of the 10th International Workshop on Fuzzy Logic and Applications, WILF 2013, held in Genoa, Italy, in November 2013. After a rigorous peer-review selection process, ultimately 19 regular papers were selected for inclusion in this volume from 29 submissions. In addition the book contains 3 keynote talks and 2 tutorials. The papers are organized in topical sections named: fuzzy machine learning and interpretability; theory and applications.

• bayesian networks
• genetically modified organisms
• image annotation
• possibility theory
• video surveillance

• DIBRIS, University of Genoa, Genoa, Italy

  Francesco Masulli

• Dept. of Informatics, Systems, and Communication, University of Milano Bicocca, Milan, Italy

  Gabriella Pasi

• Dept. of Information Systems, Iona College, New Rochelle, USA

  Ronald Yager

Policies and ethics