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Fuzzy Implications
Fuzzy Implications (FIs) generalize the classical implication and play a similar important role in Fuzzy Logic (FL), both in FL_n and FL_w in the sense of Zadeh. Their importance in applications of FL, viz., Approximate Reasoning (AR), Decision Support Systems, Fuzzy Control (FC), etc., is hard to exaggerate. This treatise is perhaps the first attempt at dealing exclusively with this class of operations.
Fuzzy Equational Logic
The book deals with similarity relations defined on a set with functions. The functions are required to map similar elements to similar ones. The book presents basic mathematical properties of structures consisting of similarity-preserving functions and logics for reasoning about similarities. The presented text is self-contained. The notions and results are demonstrated through examples which are graphically illustrated. The book is useful for researchers, but it can also be used as a graduate text.
Fuzzy Engineering Economics with Applications
This book handles the fuzzy cases of classical engineering economics topics. It contains 15 original research and application chapters including different topics of fuzzy engineering economics. This book will provide a useful resource of ideas, techniques, and methods for present and further research in the applications of fuzzy sets in engineering economics.
Fuzzy database modeling with XML
Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state of the art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches. The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Second, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred.
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 of Queuing Systems
21 detailed case studies demonstrate an efficient departure from classical techniques. Unique work creating a new Research and Development topic. Multidisciplinary approach that will benefit researchers and students throughout the fields of artificial intelligence, operations research, optimal control, Internet techniques, communications and traffic control industries. Equipped with an extensive bibliography for easy reference and scope for further study.
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 Control : Fundamentals, Stability and Design of Fuzzy Controllers
The book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphases are placed on topics that are of importance for industrial applications, like (self-) tuning of fuzzy controllers, optimisation and stability analysis. The book is written as a textbook for graduate students as well as a comprehensive reference book about fuzzy control for researchers and application engineers. Starting with a detailed introduction to fuzzy systems and control theory the reader is guided to up-to-date research results.
Fuzzy Choice Functions : A Revealed Preference Approach
This book extends the theory of revealed preference to fuzzy choice functions and provides applications to multicriteria decision making problems. The main topics of revealed preference theory (rationality, revealed preference and congruence axioms, consistency conditions) are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are developed. The results obtained are applied to economic problems where partial information and human subjectivity involve vague choices and vague preferences. The book contains a number of new results achieved by the author. Even though the text is reasonably self-contained, previous knowledge of revealed preference and fuzzy set theory is helpful for the reader.
Fuzzy Chaotic Systems : Modeling, Control, and Applications
"Fuzzy Chaotic Systems" provides original heuristic research achievements and insightful ideas on the interactions or intrinsic relationships between fuzzy logic and chaos theory. It presents the fundamental concepts of fuzzy logic and fuzzy control, chaos theory and chaos control, as well as thedefinition of chaos on the metric space of fuzzy sets. This monograph discusses and illustrates fuzzy modeling and fuzzy control of chaotic systems, synchronization, anti-control of chaos, intelligent digital redesign, spatiotemporal chaos and synchronization in complex fuzzy systems; as well as a practical application example of fuzzy-chaos-based cryptography. Like other very good books, this book may raise more questions than it can provide answers. It therefore generates a great potential to attract more attention to combine fuzzy systems with chaos theory and contains important seeds for future scientific research and engineering applications.
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.
Fuzzy and Rough Techniques in Medical Diagnosis and Medication
This volume provides readers with selected fuzzy and rough tools used to medical tasks, especially diagnosing and medication. To build a link between theoretical, mathematical excerpts and practical medical applications, the contents is formed as a sequence of occurrences in which a patient appears to be diagnosed and cured. The fuzzy and rough elements are inserted in the book in the order required by the presentation of medical substance to maintain the logical unity of the book’s essence. In conformity with this pattern the essay presents in turn some necessary elements of fuzzy set theory, the classical fuzzy diagnostic model with extensions, the fuzzy diagnostic model with clinical examinations extended throughout time based on distance theory, methods of drug effectiveness measurements and algorithms selecting the optimal medicine. As the complement, the solution of an approximation problem is suggested to find a curve that surrounds two-dimensional clock-like point sets with the little approximation error.
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 Vision : Damascus International Fairgrounds
عبارة عن مكان نجد فيه المعروضات او السلع بل هو مكان تنصهر فيه العقول البشرية لكي تقدم كل ماهو جديد وحديث ومفيد في افق حياتها المستقبلية. ويسعى الى تقديم سوريا كنموذج لأسلوب حياة جديدة وطموحة بعد معناتها من الأزمة لفترة طويلة ، من خلال زيادة الوعي الفكري والابداعي والثقافي والتجاري ونمط حديث في محال التنمية مما يحقق نتائج جيدة تعود بالكثير على سوريا لتقديم نموذج على مستوى عالي ورفيع في مجال اقامة وتنظيم المعارض وهي تجربة ستفيد دخول سوريا الى العالم المتقدم .
Future tech : How to capture value from disruptive industry trends
In Future Tech, the author reveals that true change only results from combining the forces of science and technology, policy and regulation, new business models (i.e. sharing economy) and social dynamics (whether or not people adopt it). Whether these four forces align explains why some technologies, such as AI, blockchain, robotics, synthetic biology and 3D printing, stick and why others fail.
Future Spacecraft Propulsion Systems : Enabling Technologies for Space Exploration
In Future Spacecraft Propulsion Systems the authors demonstrate the need to break free from the old established concepts of expendable rockets, using chemical propulsion, and to develop new breeds of launch vehicle capable of both launching payloads into orbit at dramatically reduced cost, and for sustained operations in low-Earth orbit. The next steps, they explain, to establishing a permanent "presence" in the solar system beyond Earth are the commercialisation of sustained operations on the Moon, and the development of advanced nuclear or high-energy space propulsion systems for solar system exploration out to the boundary of interstellar space. In the future, high-energy particle research facilities may one day yield a very high-energy propulsion system that will take us to the nearby stars, or even beyond. This is a timely and comprehensive book, putting spacecraft propulsion systems in perspective.
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 ·
Future Satellite Gravimetry and Earth Dynamics
Currently, a first generation of dedicated satellite missions for the precise mapping of the Earth’s gravity field is in orbit (CHAMP, GRACE, and soon GOCE). The gravity data from these satellite missions provide us with very new information on the dynamics of planet Earth. In particular, on the mass distribution in the Earth’s interior, the entire water cycle (ocean circulation, ice mass balance, continental water masses, and atmosphere), and on changes in the mass distribution. The results are fascinating, but still rough with respect to spatial and temporal resolution. Technical progress in satellite-to-satellite tracking and in gravity gradiometry will allow more detailed results in the future. In this special issue, Earth scientists develop visions of future applications based on follow-on high-precision satellite gravimetry missions.
Future Interaction Design
In 1969 Herbert Simon wrote a book, The Science of the Artificial, in which he argued that cognitive science should have its area of application in the design of devices. He proposed the foundation of a science of the artificial related with cognitive science in the sense in which we have traditionally understood the relationship between the engineering disciplines and the basic sciences. Such a science has been called cognitive ergonomics or cognitive engineering (Norman 1986). Simon’s cognitive ergonomics (1969), would be independent of cognitive science, its basic science, although both would be closely related. Cognitive science would contribute knowledge on human cognitive processes, and cognitive ergonomics would contribute concrete problems of design that should be solved in the context of the creation of devices. Norman (1986), the author that coined the term cognitive engineering, conceived it as an applied cognitive science where the knowledge of cognitive science is combined with that of engineering to solve design problems. According to Norman, its objectives would be: (1) to understand the fundamental principles of human actions important for the development of the engineering of design principles, and (2) to build systems that are pleasant in their use.
Future healthcare design
Describes how architects can design better healthcare buildings for a rapidly changing context and climate. Innovation in the design of healthcare estates is essential to the sustainability of our health services. Design thinking in this field is being influenced by a range of factors, such as economic constraints, an ageing demographic, complex health conditions (co-morbidities), and climate change.
