Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.
Fuzzy Control and Filter Design for Uncertain Fuzzy Systems
ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy ? controllers and robustH fuzzy ?lters for a class of uncertain fuzzy systems ? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS–MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and ? robustH fuzzy ?lters for these classes of systems based on a Tagaki-Sugeno ? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs).
Fuzzy Applications in Industrial Engineering
After an introductory chapter explaining the recent status of fuzzy sets in IE, this volume involves application chapters on the major seven areas of IE to which fuzzy set theory can contribute. These major application areas are Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.
Future-Oriented Technology Analysis : Strategic Intelligence for an Innovative Economy
The application of foresight to address the challenges of uncertainty and rapid change has grown dramatically in the past decade. In that period, the techniques have been greatly refined and the scope has been broadened to encompass future-oriented technology analysis (FTA) and more recently, the concept and practice of strategic intelligence. FTA addresses directly the longer-term future through the active and continuous development of visions, and pathways to realise these visions. It is increasingly seen as a valuable management and policy tool complementing, and extending further into the future, classical strategy, planning, and decision-making approaches.
Future Shaper : How Leaders Can Take Charge in an Uncertain World
What should leaders do? The answer is not to shy away from inevitable changes and more uncertainty, but to have the courage to face it. Leaders need to take charge by embracing new technologies, new ideas and converting these into opportunities for leadership innovation. The best ways for leaders to predict the future is to help create the future. Future Shaper is about giving back a sense of control. It's about empowering leaders to take charge and shape the future. Niamh O'Keeffe asks leaders to re-calibrate their leadership skills to include imagination and courage, to embrace innovation and drive growth and create a better future. Future Shaper helps readers to: · Embrace new digital technologies, understand AI and equip themselves for those not-yet-invented challenges ·
Frontiers in Water Resource Economics
This edited volume focuses on recent methodological advanced within the field of water resource economics and shows how these advances can be applied to the economics of water issues. It identifies five areas of particular importance -- asymmetric information and game theory, uncertainty, space, water quality, and production and technology adoption.
Forging New Frontiers : Fuzzy Pioneers I
The 2005 BISC International Special Event-BISCSE’05 " FORGING THE FRONTIERS" was held in the University of California, Berkeley, “WHERE FUZZY LOGIC BEGAN, from November 3 – 6, 2005. The successful applications of fuzzy logic and it’s rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely to play an especially important role in science and engineering, but eventually its influence may extend much farther. In many ways, fuzzy logic represents a significant paradigm shift in the aims of computing - a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity.
Forensic and Legal Dentistry
Explains in detail diverse aspects of the law as it relates to dentistry and examines key issues in forensic odontostomatology. A central aim is to enable the dentist to achieve a realistic assessment of the legal situation and to reduce uncertainties and liability risk.
Flexible Query Answering Systems ; 7th International Conference, FQAS 2006, Milan, Italy, June 7-10, 2006
This book constitutes the refereed proceeding of the 7th International Conference on Flexible Query Answering Systems, FQAS 2006, held in Milan, Italy in June 2006. The 60 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on flexibility in database management and quering, vagueness and uncertainty in XML quering and retrieval, information retrieval and filtering, multimedia information access, user modeling and personalization, knowledge and data extraction, intelligent information extraction from text, and knowledge representation and reasoning.
Flexible Databases Supporting Imprecision and Uncertainty
This volume collects selected contributions on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date ontributions on "database models to represent imperfect data". Further, it includes specific contributions on uncertainty management in database integration, and in representing and querying semistructured and spatial data. These topics are of particular relevance nowadays with the diffusion of the internet since, most of the time, applications require information spread across several information sources and their integration may result in inconsistent information.
First course on fuzzy theory and applications
This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descriptive illustrations and figures of the basic concepts, as well as exercises at the end of each chapter. The author has long time experience in teaching on fuzzy theory and its applications and continuously developed and summarized his didactic lecture notes into this book. This book can be used in introductory graduate and undergraduate courses in Fuzziness and Soft Computing and is recommendable to students, scientists, engineers, or professionals in the field for self-study.
Financial statement analysis : A practitioner's guide
This fully revised and up-to-date 5th Edition offers fresh information that will help you to evaluate financial statements in today's volatile markets and uncertain economy. The declining connection between GAAP earnings and stock prices has introduced a need to discriminate between instructive and misleading non-GAAP alternatives. This book integrates the alternatives and provides guidance on understanding the extent to which non-GAAP reports, particularly from US companies, may be biased.
Filtering Theory : With Applications to Fault Detection, Isolation, and Estimation
The focus of this book is on filtering for linear processes, and its primary goal is to design filters from a class of linear stable unbiased filters that yield an estimation error with the lowest root-mean-square (RMS) norm. Various hierarchical classes of filtering problems are defined based on the availability of statistical knowledge regarding noise, disturbances, and other uncertainties. An important characteristic of the approach employed in this work for several aspects of filter analysis and design is structural in nature, revealing an inherent freedom to incorporate other classical secondary engineering constraints—such as placement of filter poles at desired locations—in filter design. Such a structural approach requires an understanding of powerful tools that then may be used in several engineering applications besides filtering.
Field and service robotics : Results of the 6th international conference
This book presents the results of the sixth edition of Field and Service Robotics, FSR07, held in Chamonix, France, on 9th - 12th July 2007. The conference provided a forum for researchers, professionals and robot manufacturers to exchange up-to-date technical knowledge and experience. This book offers a collection of a broad range of topics including: Underwater Robots and Systems, Autonomous Navigation for Unmanned Aerial Vehicles, Simultaneous Localization and Mapping, Climbing Robotics, Sensor Fusion.
Evolutionary Multi-Criterion Optimization ; 3rd International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings
Constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005.
Evolutionary Computation in Dynamic and Uncertain Environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.
Environmental Security in Harbors and Coastal Areas : Management Using Comparative Risk Assessment and Multi-Criteria Decision Analysis
This book explores the challenges facing coastal areas during the next few decades and the difficult decisions needed to prevent a repeat of the past. Establishing, maintaining or enhancing a sense of environmental security in different coastal regions and improving the management of critical infrastructure will require (i) matching human demands with available environmental resources; (ii) recognition of environmental security threats and infrastructure vulnerabilities; and, (iii) identification of the range of available options for preventing and/or minimizing natural disasters, technological failures, and/or terror actions. This book emphasizes beliefs that the convergence of seemingly disparate viewpoints and often uncertain and limited information is possible only by using one or more available risk assessment methodologies and decision-making tools such as multi-criteria decision analysis (MCDA).
Environmental and Health Risk Assessment and Management : Principles and Practices
The book covers the essential aspects of environmental and health law, environmental economics, applied statistical and probabilistic methods, fundamental notions of applied epidemiology and toxicology, as well as decision analysis, to provide an integrated overview of how risk assessment and management combine to produce sound societal outcomes. Risk-based methods play a pivotal role in identifying and ranking alternative, sustainable choices, while accounting for uncertainty and variability. Specifically, most reductions in risks require a balancing of the costs and benefits associated with the action to reduce exposure to a hazard and thus risk. This balancing necessarily involves linking exposure and response through causation. Fundamentally, in risk assessment and management, science and law intersect through legal and scientific causation to the point that the failure to provide a sound causal argument can make an otherwise beneficial law or regulation invalid.
Environment Learning for Indoor Mobile Robots : A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is the theoretical formalism of partial observability in SLAM. The authors show that the typical approach to SLAM using a Kalman filter results in marginal filter stability, making the final reconstruction estimates dependant on the initial vehicle estimates. However, by anchoring the map to a fixed landmark in the scene, they are able to attain full observability in SLAM, with reduced covariance estimates.
Entrepreneurial cognition : Exploring the mindset of entrepreneurs
This open access book investigates the inter-relationship between the mind and a potential opportunity to explore the psychology of entrepreneurship. Building on recent research, this book offers a broad scope investigation of the different aspects of what goes on in the mind of the (potential) entrepreneur as he or she considers the pursuit of a potential opportunity, the creation of a new organization, and/or the selection of an entrepreneurial career. This book focuses on individuals as the level of analysis and explores the impact of the organization and the environment only inasmuch as they impact the individual’s cognitions. Readers will learn why some individuals and managers are able to able to identify and successfully act upon opportunities in uncertain environments while others are not. This book applies a cognitive lens to understand individuals’ knowledge, motivation, attention, identity, and emotions in the entrepreneurial process.



















