Bøger i Intelligent Systems Reference Library serien

Decision making arises when we wish to select the best possible course of action from a set of alternatives. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes.

Aimed at students majoring in other subjects but requiring a grounding in calculus, this foundation text on the subject covers the historical background of the theory before covering classic calculus and practical applications such as the Fourier series.

Written by leading experts in the field , here is a short statistic course with notes on historical origins. It serves as reference book in the field of Intelligent Systems.

Experimental data analysis is at the core of scientific inquiry, and computers have taken this function to a new level. This volume is an interactive guide to complex modern analytical processes from non-linear curve fitting to clustering and machine learning.

This book lays out a new systematization of the problems of multiple-criteria decision making which allows the author to reveal solutions to unsolved problems. These solutions, included in the volume, are applied to real-world issues in finance and business.

Offering a self-contained introduction to data mining, this book presents the concepts, models and techniques for data mining in a well organized style. Both theoretical concepts and, especially, practical techniques of this exciting field are provided.

Statistical convergence has been explored in numerous contexts such as fuzzy logic theory. Here, the authors approach the subject by approximating a function by linear operators, focusing on situations in which the classical limit is not effective.

"The authors have written an enjoyable book - rigorous in the treatment of the mathematical background, but also enlivened by interesting and original historical and philosophical perspectives." -- Manfred Jaeger, Aalborg Universitet

This book defines modern annotation, and analyzes its significance for future evolutions of the web. The authors examine the use of Artificial Intelligence and redundance in annotation tasks, and predict the future form and function of annotation.

Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets.

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator.

The monograph offers a view on Rough Mereology, a tool for reasoning under uncertainty, which goes back to Mereology, formulated in terms of parts by Lesniewski, and borrows from Fuzzy Set Theory and Rough Set Theory ideas of the containment to a degree.

This book introduces the computational intelligence tools used in practical problem solving. Beginning with search techniques, the authors review the design of knowledge-based and advanced expert systems, which incorporate uncertainty and fuzziness.

IOLSs enhance traditional online teaching methods by applying artificial intelligence and cognitive science. This book moves from analyzing OLSs and the role of the teacher, to knowledge modeling and ways of transferring competence in the virtual laboratory.

This monograph generalizes several known results on the topic and considers a number of fresh problems. Combinatorics, probability theory and complexity theory are used in the proofs, as well as concepts from discrete mathematics and computer science.

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

The book covers robotics role in medicine, space exploration and also explains the role of virtual reality as a non-destructive test bed which constitutes a premise of further advances towards new challenges in robotics.

This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases.

This book presents the collaborative control paradigm for operating assistive robots, which attempts to give the disabled user just the right amount of help in a transparent, seamless way. Describes extensive testing of the (CARMEN) approach.

A striking feature of granular classifiers obtained by this approach is that preserving the accuracy of them on original data, they reduce substantially the size of the granulated data set as well as the set of granular decision rules.

Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.

This book spans current progress in biometric systems including face recognition, fingerprint recognition, iris recognition and image search systems, connecting them to each other and to progress in color and pattern analysis, mathematics and computer science.

This crucial addition to the literature features internationally renowned authorities in science, computer science, and modeling and simulation, who explain the contribution that ontology, epistemology and teleology will make to next-generation applications.

Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.).

This book shows case studies of multimodal interactive technologies for both image and video applications. They cover a wide spectrum of applications, ranging from interactive handwriting transcriptions to human-robot interactions in real environments.

Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets.

This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

Research into social systems is challenging due to their complex nature. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.

In a stimulating exploration of the role played by philosophy, logic, and science in the study of engineering, this book aims to rekindle creativity and innovation among budding engineers by advocating the rich benefits of a broader conceptual framework.

This book presents innovative Computational Intelligence algorithms that will help start a revolution in computer science. An ideal textbook, the book will also appeal to a wide audience of professionals, researchers and independent learners.