Forging New Frontiers: Fuzzy Pioneers II

Forging New Frontiers: Fuzzy Pioneers II

Author: Masoud Nikravesh

Publisher: Springer

ISBN: 9783540731856

Category: Technology & Engineering

Page: 433

View: 315

The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.

Forging New Frontiers: Fuzzy Pioneers I

Forging New Frontiers: Fuzzy Pioneers I

Author: Masoud Nikravesh

Publisher: Springer

ISBN: 9783540731825

Category: Technology & Engineering

Page: 460

View: 451

The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.

Type-2 Fuzzy Logic: Theory and Applications

Type-2 Fuzzy Logic: Theory and Applications

Author: Oscar Castillo

Publisher: Springer Science & Business Media

ISBN: 9783540762836

Category: Mathematics

Page: 252

View: 537

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Fuzzy Implications

Fuzzy Implications

Author: Michał Baczyński

Publisher: Springer

ISBN: 9783540690825

Category: Technology & Engineering

Page: 310

View: 843

This book is the first ever to deal exclusively with this class of operations. It offers an introduction to Fuzzy Implications, an analytical study of them, and an algebraic exploration into the structures that exist on the set of all FIs.

Algorithms for Fuzzy Clustering

Algorithms for Fuzzy Clustering

Author: Sadaaki Miyamoto

Publisher: Springer Science & Business Media

ISBN: 9783540787365

Category: Computers

Page: 253

View: 780

Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular method is the K-means which use K cluster centers. A group of data is gathered around a cluster center and thus forms a cluster. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. A main reasonwhy we concentrate on fuzzy c-means is that most methodology and application studies infuzzy clusteringusefuzzy c-means,andfuzzy c-meansshouldbe consideredto beamajortechniqueofclusteringingeneral,regardlesswhetheroneisinterested in fuzzy methods or not. Moreover recent advances in clustering techniques are rapid and we requirea new textbook that includes recent algorithms.We should also note that several books have recently been published but the contents do not include some methods studied herein.

Forging New Frontiers: Fuzzy Pioneers II

Forging New Frontiers: Fuzzy Pioneers II

Author: Masoud Nikravesh

Publisher: Springer

ISBN: 3540731849

Category: Mathematics

Page: 433

View: 466

The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.

Applying Fuzzy Mathematics to Formal Models in Comparative Politics

Applying Fuzzy Mathematics to Formal Models in Comparative Politics

Author: Terry D. Clark

Publisher: Springer

ISBN: 9783540774617

Category: Mathematics

Page: 214

View: 746

This book explores the intersection of fuzzy mathematics and the spatial modeling of preferences in political science. Beginning with a critique of conventional modeling approaches predicated on Cantor set theoretical assumptions, the authors outline the potential benefits of a fuzzy approach to the study of ambiguous or uncertain preference profiles. This is a good text for a graduate seminar in formal modeling. It is also suitable as an introductory text in fuzzy mathematics.

Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Author: Rafael Bello

Publisher: Springer Science & Business Media

ISBN: 9783540769729

Category: Computers

Page: 339

View: 883

This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba. They contain valuable contributions both in the theoretical field and in several application domains such as intelligent control, data analysis, decision making and machine learning, just to name a few. Together, they capture the huge potential of the aforementioned methodologies.

Monte Carlo Methods in Fuzzy Optimization

Monte Carlo Methods in Fuzzy Optimization

Author: James J. Buckley

Publisher: Springer Science & Business Media

ISBN: 9783540762898

Category: Computers

Page: 256

View: 623

Monte Carlo Methods in Fuzzy Optimization is a clear and didactic book about Monte Carlo methods using random fuzzy numbers to obtain approximate solutions to fuzzy optimization problems. The book includes various solved problems such as fuzzy linear programming, fuzzy regression, fuzzy inventory control, fuzzy game theory, and fuzzy queuing theory. The book will appeal to engineers, researchers, and students in Fuzziness and applied mathematics.

Forging New Frontiers: Fuzzy Pioneers II

Forging New Frontiers: Fuzzy Pioneers II

Author: Masoud Nikravesh

Publisher: Springer

ISBN: 3642092233

Category: Mathematics

Page: 433

View: 907

The chapters of the book are evolved from presentations made by selected participants at the 2005 BISC International Special Event, held at the University of California at Berkely. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty-four articles in two volumes.

Discrete Optimization with Interval Data

Discrete Optimization with Interval Data

Author: Adam Kasperski

Publisher: Springer

ISBN: 9783540784845

Category: Mathematics

Page: 220

View: 983

Operations research often solves deterministic optimization problems based on elegantand conciserepresentationswhereall parametersarepreciselyknown. In the face of uncertainty, probability theory is the traditional tool to be appealed for, and stochastic optimization is actually a signi?cant sub-area in operations research. However, the systematic use of prescribed probability distributions so as to cope with imperfect data is partially unsatisfactory. First, going from a deterministic to a stochastic formulation, a problem may becomeintractable. Agoodexampleiswhengoingfromdeterministictostoch- tic scheduling problems like PERT. From the inception of the PERT method in the 1950’s, it was acknowledged that data concerning activity duration times is generally not perfectly known and the study of stochastic PERT was launched quite early. Even if the power of today’s computers enables the stochastic PERT to be addressed to a large extent, still its solutions often require simplifying assumptions of some kind. Another di?culty is that stochastic optimization problems produce solutions in the average. For instance, the criterion to be maximized is more often than not expected utility. This is not always a meaningful strategy. In the case when the underlying process is not repeated a lot of times, let alone being one-shot, it is not clear if this criterion is realistic, in particular if probability distributions are subjective. Expected utility was proposed as a rational criterion from ?rst principles by Savage. In his view, the subjective probability distribution was - sically an artefact useful to implement a certain ordering of solutions.

Soft Computing Applications in Industry

Soft Computing Applications in Industry

Author: Bhanu Prasad

Publisher: Springer Science & Business Media

ISBN: 9783540774648

Category: Computers

Page: 384

View: 937

Softcomputing techniques play a vital role in the industry. This book presents several important papers presented by some of the well-known scientists from all over the globe. The main techniques of soft computing presented include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models. The book includes various examples and application domains such as bioinformatics, detection of phishing attacks, and fault detection of motors.