Explore the vast range of titles available.

Fuzzy sets were for a long time not accepted by the AI community. Now they have become highly evolved and their techniques are well established. This book will teach the reader how to construct a fuzzy expert system to solve real-world problems. After a general discussion of expert systems, the basic fuzzy math required is presented first, requiring little more math background than high-school algebra. This book will fill a void in the market because although there are many books on expert systems, none devote more than a few pages to the notion of fuzzy sets and their applications in this domain. Therefore their use in this book is timely and should be well received. The book is designed as a text and has ample problems with solutions, a solutions manual and an accompanying program on our ftp site. Coverage is accessible to practitioners and academic readers alike.

Granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental environment for intelligent system design and analysis. This innovative book presents the unified principles of granular computing along with its comprehensive algorithmic framework and design practices. It explores key concepts and formalisms as well as applications. It also emphasizes the need to consider information granularity as an important design asset that helps in the construction of more realistic models of real-world systems and in facilitating collaborative pursuits of system modeling.

As knowledge-based software engineering matures and increasingly automates the software engineering life cycle, software engineering resources are shifting towards knowledge acquisition and the automated reuse of expert knowledge for developing software artifacts. This book summarizes the work and new research results presented at the Tenth Joint Conference on Knowledge-based Software Engineering (JCKBSE 2012), held on the island of Rhodes, Greece, in August 2012.The biennial Joint Conference on Knowledge-Based Software Engineering brings together researchers and practitioners to share ideas on the foundations, techniques, tools, and applications of knowledge-based software engineering theory and practice.Topics addressed include theoretical foundations, practical techniques, software tools, applications and/or experience reports in knowledge-based software engineering.This book is published in the subseries Knowledge-Based Intelligent Engineering Systems (KBIES).

<p><b>Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another</b></p> <p>This book covers the three fundamental topics that form the basis of computational intelligence:&nbsp; neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation.</p> <ul> <li>Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks</li> <li>Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals</li> <li>Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence</li> <li>Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems</li> </ul> <p><i>Fundamentals of Computational intelligence</i> is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.</p>

Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and how they enable companies and customers to thrive. Includes detailed discussion of state-of-the art configuration knowledge engineering approaches such as automated testing and debugging, redundancy detection, and conflict management Provides an overview of the application of knowledge-based configuration technologies in the form of real-world case studies from SAP, Siemens, Kapsch, and more Explores the commercial benefits of knowledge-based configuration technologies to business sectors from services to industrial equipment Uses concepts that are based on an example personal computer configuration knowledge base that is represented in an UML-based graphical language

The world is experiencing an unprecedented period of change and growth through all the electronic and technological developments and everyone on the planet has been impacted. What was once 'science fiction', today it is a reality. This book explores the world of many of once unthinkable advancements by explaining current technologies in great detail. Each chapter focuses on a different aspect - Machine Vision, Pattern Analysis and Image Processing - Advanced Trends in Computational Intelligence and Data Analytics - Futuristic Communication Technologies - Disruptive Technologies for Future Sustainability. The chapters include the list of topics that spans all the areas of smart intelligent systems and computing such as: Data Mining with Soft Computing, Evolutionary Computing, Quantum Computing, Expert Systems, Next Generation Communication, Blockchain and Trust Management, Intelligent Biometrics, Multi-Valued Logical Systems, Cloud Computing and security etc. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

The information context of the modern organization is rapidly evolving in the face of intense global competition. Information technologies, including databases, new telecommunications systems, and software for synthesizing information, make a vast array of information available to an ever expanding number of organizational members. Management's exclusive control over knowledge is steadily declining, in part because of the downsizing of organizations and the decline of the number of layers in an organizational hierarchy. These trends, as well as issues surrounding the Web 2.0 and social networking, mean that it is increasingly important that we understand how informal knowledge networks impact the generation, capturing, storing, dissemination, and application of knowledge. This innovative book provides a thorough analysis of knowledge networks, focusing on how relationships contribute to the creation of knowledge, its distribution within organizations, how it is diffused and transferred, and how people find it and share it collaboratively.

A collection of papers presented in the 11th European Japanese Conference on Information Modelling and Knowledge Bases held in Maribor, Slovenia. This annually organized conference brings together the leading researchers from Europe and Japan to introduce the latest results of their research.

This book presents the workshop proceedings of the 7th International Conference on Intelligent Environments (IE 2011), held in Nottingham, United Kingdom, in July 2011. The workshops provide a forum for scientists, researchers and engineers from both industry and academia to engage in discussion on newly emerging or rapidly evolving topics which have yet to reach conferences or journals.The seven workshops included in the conference address a diverse set of topics. The formats are equally diverse, ranging from lectures to practical sessions, and comprising over 80 presentations in total. The workshops and the areas they address are as follows: AITAmI'11, the special relevance of AI technology to the goals of ambient intelligence and practical applications; CS'11, the use of science fiction stories grounded in current science and engineering research as a means to motivate and direct research into new technologies; HCIAmI'11, an exploration of multidisciplinary human centric interfaces for ambient intelligence applications; IC'11, the next-generation intelligent campus environment; SciT'11, establishing a multidisciplinary forum using the creative arts as a means of conveying scientific achievements to a wider audience; SOOW'11, smart offices and other intelligent workplaces and finally, WISHWell'11, an exploration of pervasive healthcare technology solutions within the hospital and home.Providing a picture of the latest ideas and innovations in the field, this book will be of interest to all those whose work involves the use or creation of intelligent environments.