Theoretical Advances and Applications of Fuzzy Logic and Soft Computing [electronic resource] /
Castillo, Oscar.editor.
Melin, Patricia.editor.
Montiel Ross, Oscar.editor.
Sepúlveda Cruz, Roberto.editor.
Pedrycz, Witold.editor.
This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.
Description based upon print version of record.
Includes bibliographical references and index.
Intuitionistic Fuzzy Sets and Their Applications -- The Application of Fuzzy Logic and Soft Computing in Flexible Quering -- Philosophical and Human-Scientific Aspects of Soft Computing -- Search Engine and Information Processing and Retrieval -- Perception Based Data Mining and Decision Making -- Soft Computing in Medical Sciences -- Joint Model-Based and Data-Based Learning: The Fuzzy Logic Approach -- Fuzzy/Possibilistic Optimization -- Algebraic Foundations of Soft Computing -- Fuzzy Trees -- Soft Computing in Petroleum Applications -- Fuzzy Logic and Soft Computing in Distributed Computing -- Fuzzy Logic Theory -- Fuzzy Logic Applications -- Neural Networks -- Soft Computing.
This book comprises a selection of papers from the IFSA 2007 World Congress on theoretical advances and applications of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies. Soft Computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. Applications range from pattern recognition to intelligent control and sow the advantages of using soft computing theory and methods. The papers of IFSA 2007 also make a contribution to this goal.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Mathematical and Computational Engineering.
Artificial Intelligence.