Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications

This book gathers cutting-edge papers in the area of Computational Intelligence, presented by specialists, and covering all major trends in the research community in order to provide readers with a rich primer. It presents an overview of various soft computing topics and approximate reasoning-based approaches, both from theoretical and applied perspectives. Numerous topics are covered: fundamentals aspects of fuzzy sets theory, reasoning approaches (interpolative, analogical, similarity-based), decision and optimization theory, fuzzy databases, soft machine learning, summarization, interpretability and XAI. Moreover, several application-based papers are included, e.g. on image processing, semantic web and intelligent tutoring systems. This book is dedicated to Bernadette Bouchon-Meunier in honor of her achievements in Computational Intelligence, which, throughout her career, have included profuse and diverse collaborations, both thematically and geographically.

Presents Fuzzy Approaches for Soft Computing and Approximate Reasoning Dedicated to Bernadette Bouchon-Meunier Includes Theories and Applications Alike

Inhalt

Chapter 1: The Fuzzy Theoretic Turn.- Chapter 2: Membership functions.- Chapter 3: The evolution of the notion of overlap functions.- Chapter 4: Interpolative reasoning: valid, specicity-gradual.- Chapter 5: A similarity-based three-valued modal logic approach to reason with prototypes and counterexamples.- Chapter 6: Analogy.- Chapter 7: The role of the context in decision and optimization problems.- Chapter 8: Decision rules under vague and uncertain information.- Chapter 9: Abstract Models for Systems Identication.- Chapter 10: Fuzzy Systems Interpretability: What, Why and How.- Chapter 11: Fuzzy Clustering Models and Their Related Concepts.