Foundations of Fuzzy Logic and Soft Computing Foundations of Fuzzy Logic and Soft Computing

Foundations of Fuzzy Logic and Soft Computing

Patricia Melin and Others
    • $139.99
    • $139.99

Publisher Description

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 imp- tant contribution to the theory and applications of fuzzy logic and soft c- puting 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. The papers of IFSA 2007 also make a contribution to this goal. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to achieve intelligent solutions 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 book is divided into 14 main parts.Eachpart contains a set of papers on a common subject, so that the reader can ?nd similar papers grouped together. Some of these parts comprise the papers of organized sessions of IFSA 2007 and we thank the session organizers for their incredible job in forming these sessions with invited and regular paper submissions.

GENRE
Computers & Internet
RELEASED
2007
July 2
LANGUAGE
EN
English
LENGTH
851
Pages
PUBLISHER
Springer Berlin Heidelberg
SELLER
Springer Nature B.V.
SIZE
12.5
MB
Computational Intelligence, Theory and Applications Computational Intelligence, Theory and Applications
2006
Fuzzy Information and Engineering Fuzzy Information and Engineering
2007
Eurofuse 2011 Eurofuse 2011
2011
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
2011
Information Processing and Management of Uncertainty in Knowledge-Based Systems Information Processing and Management of Uncertainty in Knowledge-Based Systems
2010
Fuzzy Information Processing Fuzzy Information Processing
2018
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
2018
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
2017
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
2016
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks
2024
New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
2024
Type-3 Fuzzy Logic in Time Series Prediction Type-3 Fuzzy Logic in Time Series Prediction
2024