Learn IT - Books tags fuzzy

Fuzzy Logic: A Spectrum of Theoretical & Practical Issues (Studies in Fuzziness and Soft Computing)

Springer, 2007

This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD...

Soft Computing for Hybrid Intelligent Systems (Studies in Computational Intelligence)

Springer, 2008

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in...

Fuzzy-Like Multiple Objective Decision Making (Studies in Fuzziness and Soft Computing)

Springer, 2011

Everyday people need to make decisions, and the decision makers usually face multiple, conflicting objectives and uncertain environments. The research about uncertain multi-objective decision making problems has been profolic. It mainly provides decision makers with the help to find optimal solutions for many objectives under...

Handbook of Research on Fuzzy Information Processing in Databases

Information Science Publishing, 2008

Information technology is one of the most rapidly changing disciplines, especially with the fuzzy extension. Fuzzy databases have been studied in many works and papers but, in general, these works study some particular area and many works are theoretical works, with very few real applications.

The Handbook of Research on Fuzzy...

Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Springer, 2011

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

Fuzzy Transportation and Transshipment Problems (Studies in Fuzziness and Soft Computing)

Springer, 2019

This book presents a novel approach to the formulation and solution of three classes of problems: the fully fuzzy transportation problem, the fully fuzzy transshipment problem, and fully fuzzy solid transportation problem. It points out some limitations of the existing formulations and approaches, indicating some possible,...

Pro IronPython

Apress, 2009

I come from a background of static typing and rigid languages: C, C++, C#. I’m seeing more than one trend at work here. For the longest time I felt something of a warm, fuzzy sensation when it came to my programming. The data type on the left matched the data type on the right. All was well. Then Python walked through the door.
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Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Computational Intelligence: An Introduction

John Wiley & Sons, 2007

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm...

Transactions on Computational Collective Intelligence XXXII (Lecture Notes in Computer Science (11370))

Springer, 2018

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence...

Computational Intelligence, Theory and Applications (Advances in Soft Computing)

Springer, 2006

For the 9th time since 1991 we invite researchers to participate in the Dortmund Fuzzy-Days. I am very glad that our conference has established itself as an international forum for the discussion of new results in the filed of Computational Intelligence. Again all papers had to undergo a thorough review: each one was judged by five referees to...

Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing)

Springer, 2006

Bringing together the two seemingly unrelated concepts, fuzzy logic and chaos theory, is primarily motivated by the concept of soft computing (SC), initiated by Lotfi A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter...

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