Growth is high on the agenda of companies around the world today. This book, based on several years of new research by the world's leading management consultants McKinsey & Company, presents powerful new insights into sustained profitable growth.

Information granules, as encountered in natural language, are implicit in nature. To make them fully operational so they can be effectively used to analyze and design intelligent systems, information granules need to be made explicit. An emerging discipline, granular computing focuses on formalizing information granules and unifying them to create a coherent methodological and developmental environment for intelligent system design and analysis. Granular Computing: Analysis and Design of Intelligent Systems presents the unified principles of granular computing along with its comprehensive algorithmic framework and design practices. Introduces the concepts of information granules, information granularity, and granular computing Presents the key formalisms of information granules Builds on the concepts of information granules with discussion of higher-order and higher-type information granules Discusses the operational concept of information granulation and degranulation by highlighting the essence of this tandem and its quantification in terms of the associated reconstruction error Examines the principle of justifiable granularity Stresses the need to look at information granularity as an important design asset that helps construct more realistic models of real-world systems or facilitate collaborative pursuits of system modeling Highlights the concepts, architectures, and design algorithms of granular models Explores application domains where granular computing and granular models play a visible role, including pattern recognition, time series, and decision making Written by an internationally renowned authority in the field, this innovative book introduces readers to granular computing as a new paradigm for the analysis and synthesis of intelligent systems. It is a valuable resource for those engaged in research and practical developments in computer, electrical, industrial, manufacturing, and biomedical engineering. Building from fundamentals, the book is also suitable for readers from nontechnical disciplines where information granules assume a visible position.

This edition describes a process based on employing use cases to gather and define software requirements. Use cases, roughly defined, involve the process of figuring out exactly how end-users will "use" a software system when it is completed before coding begins. Both the process and its presentation have been thoroughly revised based on the authors' more recent consulting experience and on feedback gathered from readers of the first edition over the past three years.

This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures.

While growth is a top priority for companies of all sizes, it can be extremely difficult to create and maintain—especially in today’s competitive business environment. The Granularity of Growth will put you in a better position to succeed as it reveals why growth is so important, what enables certain companies to grow so spectacularly, and how to ensure that growth comes from multiple sources as you take both a broad and a granular view of your markets.

Companies face major challenges as they seek to flourish in competitive global markets, fuelled by developments in technology, from the Internet to grid computing and Web services. In this environment, service orientation - aligning business processes to the changing demands of customers - is emerging as a highly effective approach to increasing efficiency. In this book, Paul Allen provides an accessible guide to service orientation, showing how it works and highlighting the benefits it can deliver. The book provides an integrated approach: after covering the basics of service orientation, he discusses key issues such as business agility, designing quality-of-service infrastructure, implementing service-level agreements, and cultural factors. He provides roadmaps, definitions, templates, techniques, process patterns and checklists to help you realize service orientation. These resources are reinforced with detailed case studies, from the transport and banking sectors. Packed with valuable insights, the book will be essential reading for CIOs, IT architects and senior developers. IT facing business executives will also benefit from understanding how software services can enable their business strategies. Paul Allen is a principal business-IT strategist at CA and is widely recognized for his innovative work in component-based development (CBD), business-IT alignment and service-oriented architecture. With over thirty years experience of large-scale business systems, he is an established author whose previous book was the critically acclaimed Realizing e-Business with Components. Sam Higgins is now with Forrester Research Inc.; formerly he managed the Innovation and Planning Unit of Queensland Transport's Information Services Branch. Paul McRae is the application architect in the Innovation and Planning Unit of Queensland Transport's Information Services Branch. Hermann Schlamann is a senior architect in the architecture group of Credit Suisse.

The four-volume set LNAI 6276--6279 constitutes the refereed proceedings of the 14th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2010, held in Cardiff, UK, in September 2010. The 272 revised papers presented were carefully reviewed and selected from 360 submissions. They present the results of high-quality research on a broad range of intelligent systems topics.