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Fuzzy Stochastic Multiobjective Programming (International Series in Operations Research & Management Science)
Fuzzy Stochastic Multiobjective Programming (International Series in Operations Research & Management Science)

Although studies on multiobjective mathematical programming under uncertainty have been accumulated and several books on multiobjective mathematical programming under uncertainty have been published (e.g., Stancu-Minasian (1984); Slowinski and Teghem (1990); Sakawa (1993); Lai and Hwang (1994); Sakawa (2000)), there seems to be no book which...

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis
Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts. This book fills the gap in the field, offering a clear, user-friendly introduction to the main theoretical and...

Intelligent Data Analysis
Intelligent Data Analysis
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches
Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image...

Foundations of Soft Case-Based Reasoning (Wiley Series on Intelligent Systems)
Foundations of Soft Case-Based Reasoning (Wiley Series on Intelligent Systems)
A breakthrough on today’s fastest growing artificial intelligence technique

Many of today’s engineering and business computer applications require decisions to be made on the basis of uncertain or incomplete information, a phenomenon that has resulted in the development of case-based reasoning, a powerful computing technique by...

Computational Intelligence Paradigms: Theory & Applications using MATLAB
Computational Intelligence Paradigms: Theory & Applications using MATLAB

Offering a wide range of programming examples implemented in MATLAB®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Real-Time Volume Graphics
Real-Time Volume Graphics

IN TRADITIONAL COMPUTER GRAPHICS, 3D objects are created using highlevel surface representations such as polygonal meshes, NURBS (nonuniform rational B-spline) patches, or subdivision surfaces. Using this modeling paradigm, visual properties of surfaces, such as color, roughness, and reflectance, are described by means of a shading...

Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks,...
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques
Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement...
Software Development and Professional Practice
Software Development and Professional Practice

What’s this book all about? Well, it’s about how to develop software, from a personal perspective. We’ll look at what it means for you to take a problem and produce a program to solve it from beginning to end. That said, this book focuses a lot on design. How do you design software? What things do you take into...

Two-Dimensional Change Detection Methods: Remote Sensing Applications (SpringerBriefs in Computer Science)
Two-Dimensional Change Detection Methods: Remote Sensing Applications (SpringerBriefs in Computer Science)

Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based,...

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