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Forging New Frontiers Fuzzy Pioneers I


Forging New Frontiers Fuzzy Pioneers I
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Forging New Frontiers Fuzzy Pioneers I


Forging New Frontiers Fuzzy Pioneers I
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Author : Masoud Nikravesh
language : en
Publisher: Springer
Release Date : 2007-09-27

Forging New Frontiers Fuzzy Pioneers I written by Masoud Nikravesh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-27 with Technology & Engineering categories.


The 2005 BISC International Special Event-BISCSE’05 “Forging the frontiers” was held in the University of California, Berkeley, “Where fuzzy logic began”, from November 3-6, 2005. The successful applications of fuzzy logic and it’s rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely to play an especially important role in science and engineering, but eventually its influence may extend much farther. In many ways, fuzzy logic represents a significant paradigm shift in the aims of computing - a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. The chapters of the book are evolved from presentations made by selected participants at the meeting and organized in two books. 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 (44) articles in two volumes.



Forging New Frontiers Fuzzy Pioneers Ii


Forging New Frontiers Fuzzy Pioneers Ii
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Author : Masoud Nikravesh
language : en
Publisher: Springer
Release Date : 2007-10-30

Forging New Frontiers Fuzzy Pioneers Ii written by Masoud Nikravesh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-30 with Technology & Engineering categories.


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.



Monte Carlo Methods In Fuzzy Optimization


Monte Carlo Methods In Fuzzy Optimization
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Author : James J. Buckley
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-20

Monte Carlo Methods In Fuzzy Optimization written by James J. Buckley and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-20 with Computers categories.


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.



Granular Computing At The Junction Of Rough Sets And Fuzzy Sets


Granular Computing At The Junction Of Rough Sets And Fuzzy Sets
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Author : Rafael Bello
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-20

Granular Computing At The Junction Of Rough Sets And Fuzzy Sets written by Rafael Bello and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-20 with Computers categories.


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.



Knowledge Service Engineering Handbook


Knowledge Service Engineering Handbook
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Author : Jussi Kantola
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Knowledge Service Engineering Handbook written by Jussi Kantola and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.


Edited by Jussi Kantola, the founding faculty member of the world's first university Knowledge Service Engineering Department at Korea Advanced Institute of Science and Technology, and Waldemar Karwowski from the Department of Industrial Engineering and Management Systems at UCF, Knowledge Service Engineering Handbook defines what knowledge service



Applying Fuzzy Mathematics To Formal Models In Comparative Politics


Applying Fuzzy Mathematics To Formal Models In Comparative Politics
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Author : Terry D. Clark
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-20

Applying Fuzzy Mathematics To Formal Models In Comparative Politics written by Terry D. Clark and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-20 with Computers categories.


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.



Discrete Optimization With Interval Data


Discrete Optimization With Interval Data
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Author : Adam Kasperski
language : en
Publisher: Springer
Release Date : 2008-04-06

Discrete Optimization With Interval Data written by Adam Kasperski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-06 with Mathematics categories.


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
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Author : Bhanu Prasad
language : en
Publisher: Springer
Release Date : 2008-02-13

Soft Computing Applications In Industry written by Bhanu Prasad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-13 with Technology & Engineering categories.


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.



Management Of Knowledge Imperfection In Building Intelligent Systems


Management Of Knowledge Imperfection In Building Intelligent Systems
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Author : Eugene Roventa
language : en
Publisher: Springer
Release Date : 2008-10-14

Management Of Knowledge Imperfection In Building Intelligent Systems written by Eugene Roventa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-14 with Mathematics categories.


There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. To our knowledge this is among the few books to be entirely dedicated to the treatment of knowledge imperfection when bui- ing intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book - cludes undergraduate students in computer science, IT&C, mathematics, business, medicine, etc. , graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representation, reasoning under knowledge Imperfection (Probability Theory, Possibility Theory, Belief Theory, and Approximate Reasoning). Most of the examples discussed in details throughout the book are from the medical domain. Each chapter ends with a set of carefully pe- gogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Chapter 1 is dedicated to the review of expert systems. Hence are briefly discussed production rules, structure of ES, reasoning in an ES, and conflict resolution. Chapter 2 treats knowledge representation. That includes the study of the differences between data, information and knowledge, logical systems with focus on predicate calculus, inference rules in classical logic, semantic nets and frames.



Soft Computing Applications In Business


Soft Computing Applications In Business
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Author : Bhanu Prasad
language : en
Publisher: Springer
Release Date : 2008-04-10

Soft Computing Applications In Business written by Bhanu Prasad and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-10 with Technology & Engineering categories.


Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field. The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques. The businesses or business problems addressed in this book include (or very closely related to): analysis of correlations between currency exchange rates, analysis of USA banks and Moody’s bank financial strength rating, arrears management, business risk identification, company audit fee evaluation, dental treatments, business internal control, intelligent tutoring systems and educational assessment, modeling agent behavior, motor insurance industry, personal loan defaults, pricing strategies for increasing the market share, pricing strategies in supply chain management, probabilistic sales forecasting, user relevance feedback analysis for online text retrieval, and world crude oil spot price forecasting.