This book comprises a selection of papers from IFSA 2007 on new
methods and theories that contribute to the foundations 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. This book is intended to
be a major reference for scientists and engineers interested in
applying new computational and mathematical tools to achieve
intelligent solution to complex problems. We consider that this
book can also be used to get novel ideas for new lines of research,
or to continue the lines of research proposed by the authors of the
papers contained in the book.
The 80 papers presented were carefully reviewed and selected
form more than 400 submissions. The papers are organized in topical
sections on relation between interval and fuzzy techniques,
intuitionistic fuzzy sets and their applications, the application
of fuzzy logic and soft computing in flexible querying,
philosophical and human-scientific aspects of soft computing,
search engine and information processing and retrieval, perception
based data mining and decision making, joint model-based and
data-based learning: the fuzzy logic approach, fuzzy possibilistic
optimization, fuzzy trees, fuzzy logic theory, type-2 fuzzy logic,
fuzzy logic applications, neural networks and control, as well as
intelligent agents and knowledge ant colony.
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