Learn IT - Books tags fuzzy

Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing)

Springer, 2006

From a linguistic perspective, it is quantification which makes all the difference between “having no dollars” and “having a lot of dollars”. And it is the meaning of the quantifier “most” which eventually decides if “Most Americans voted Kerry” or “Most Americans voted Bush” (as it...

Advances in Artificial Intelligence -- IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004

Springer, 2004

This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004.

The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent...

Applied Fuzzy Arithmetic: An Introduction with Engineering Applications

Springer, 2004

Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction...

Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing)

Springer, 2005

This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as...

Genetic Fuzzy Systems

World Scientific Publishing, 2002

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to...

Collaborative Geographic Information Systems

Idea Group Publishing, 2006

Many advances in the integration of group spatial modeling, geographic information systems (GIS), and the Internet have occurred in recent years; however, there is a lack of materials to highlight the transdisciplinary characteristics and impacts of this convergence while providing a uniform and consistent treatment of this expanding field of...

Computer-Aided Intelligent Recognition Techniques and Applications

John Wiley & Sons, 2005

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification.

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Fuzzy Control Systems

CRC Press, 1993

Must reading for anyone interested in acquiring a thorough understanding of fuzzy logic, its role in soft computing, and its application to control and related fields.

-Lotfi A. Zadeh
From the Foreword

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The...

Fuzzy Logic and Intelligent Systems (International Series in Intelligent Technologies)

Springer, 1995

One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty....

Hybrid Architectures for Intelligent Systems

CRC Press, 1992

The interaction between Fuzzy Set theory and Neural Network theory is multi-faceted and occurs at many different levels. The connection between these two concepts occurs both in the framework of real and artificial neural systems.

The brain is not just a collection of neurons grouped together at some part of the animal’s body,...

Hybrid Methods in Pattern Recognition

Wordware Publishing, 2002

The discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these...

Advances in Information Processing and Protection

Springer, 2007

This book contains a selection of the best papers given at the Advanced Computer Systems Conference in October 2006 in Poland. The book is partitioned into four topical areas:

The Artificial Intelligence section includes papers on Humatronics, Fuzzy Logic, Robotics, Cell, Genetic and Probabilistic Algorithms, Incomplete Data and Similarity...

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