6 edition of Uncertainty-based information found in the catalog.
Includes bibliographical references and index.
|Statement||George J. Klir, Mark J. Wierman.|
|Series||Studies in fuzziness and soft computing ;, vol. 15|
|Contributions||Wierman, Mark J., 1955-|
|LC Classifications||QA76.9.S63 K58 1998|
|The Physical Object|
|LC Control Number||98010912|
The distinguished diplomat and economist surveys the ideas and influence of economists and social philosophers, from Adam Smith's day to the present, contrasting the certainties in nineteenth-century economic thought with the uncertainty of today's. Measurement uncertainties can come from the measuring instrument, from the item being measured, from the environment, from the operator, and from other sources. Such uncertainties can be estimated using statistical analysis of a set of measurements, and using other kinds of information about the measurement Size: KB.
Information granule formation via uncertainty-based information. Taking inspiration on uncertainty-based information, this can be interpreted in a manner which forms higher-type information granules where uncertainty can be captured and measured which leads to the building of Interval Type-2 Fuzzy information by: Domain Uncertainty Based On Information Theory for Cross-Modal Hash Retrieval Abstract: Cross-modal hash retrieval has received considerable interest in the area of deep learning. Here hash codes of data of different modalities are learned where pair-wise loss functions control feature similarity in a shared embedding : Wei Chen, Nan Pu, Yu Liu, Erwin Bakker, Michael Lew.
On the other side, there’s uncertainty. In contrast, uncertainty involves situations with unknown variables, information, and outcomes. Uncertainty cannot be measured or calculated. Since uncertain events are unique and difficult to plan for, they come with even greater downsides for unprepared businesses. nical information, which is intended primarily for laboratory personnel with the required mathe-matical skills, is presented last. The general discussion in Sections and requires little previous knowledge of statistical metrology on the part of the reader and involves no mathe-.
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Uncertainty-Based Information: Elements of Generalized Information Theory. The book is an overview of the development of basic ideas and mathematical results regarding measures and principles of uncertainty-based information formalized within the framework of classical set theory, probability theory, fuzzy set theory, possibility theory, and the Dempster-Shafer theory of book Format: Ebook.
Information is precious. It reduces our uncertainty in making decisions. Uncertainty-based information book Knowledge about the outcome of an uncertain event gives the possessor an advantage. It changes the course of lives, nations, and history itself.
Information is the food of Maxwell's demon. His power comes from know ing which particles are hot and which particles are by: Uncertainty-Based Information book.
Read reviews from world’s largest community for readers. Information is precious. It reduces our uncertainty in makin /5(10). Information is precious. Uncertainty-based information book It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage.
It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. His power comes from know ing which.
Introduction. Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage.
It changes the course of lives, nations, and history itself. Information is the food of Maxwell's demon. Information is precious. It reduces our uncertainty in making decisions. Knowledge about the outcome of an uncertain event gives the possessor an advantage.
It changes the course of lives, nations, and history itself. Information /5(10). Atoyan H, Robert J and Duquet J Presentation of uncertain information in user interfaces to support decision making in complex military systems Proceedings of the 20th Conference on l'Interaction Homme-Machine, ().
Uncertainty-Based Information by George J. Klir,available at Book Depository with free delivery worldwide/5(10). The growing importance of uncertainty and uncertainty‐based information in human affairs is discussed.
Research subsumed under the name “generalized information theory” is characterized. Relevant terminology and notation for the whole book are introduced, and an outline of the book. Uncertainty-Based Information Elements of Generalized Information Theory.
EMBED (for hosted blogs and item tags). Information has become something worth studying in its own right. The purpose of this volume is to introduce key developments and results in the area of generalized information theory, a theory that deals with uncertainty-based information within mathematical frameworks that are broader than classical set theory and probability theory.
provide much of the information required to evaluate the measurement uncertainty. This third edition retains the features of the second edition and adds information based on developments in uncertainty estimation and use since The additional material provides improved guidance on the.
"Let's face it-the leap of faith required to follow a dream is usually accompanied by gut-wrenching, knee-quaking, soul-shaking fear. Jonathan Fields knows this-but instead of offering an empty pep talk, he delivers daily practices that can help you transform fear and uncertainty into confidence and creativity."Daniel H.
Pink, author of Drive and/5(). Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 15) Abstract Although measures of the various types of uncertainty-based information (Table ) are not sufficient in human communication [Cherry, ], they are highly effective tools for dealing with systems problems of virtually any kind [Klir, ].Author: George J.
Klir, Mark J. Wierman. The concepts of uncertainty and information studied in this book are tightly interconnected. Uncertainty is viewed as a manifestation of some information deﬁciency, while information is viewed as the capacity to reduce uncertainty.
Whenever these restricted notions of uncertainty and information may be con. the book suggests that, in their eyes, there is no precise definition of uncertainty and therefore no precise solution. Some see the task of managing uncertainty as no more than an extension of financial risk management, entailing the need for financial “buffers” brought about by greater Size: KB.
Uncertainty-Based Information: Elements of Generalized Information Theory. [George J Klir; Mark J Wierman] -- The book is an overview of the development of basic ideas and mathematical results regarding measures and principles of uncertainty-based information.
A new technique for forming information granules is shown in this chapter. Based on the theory of uncertainty-based information, an approach is proposed which forms Interval Type-2 Fuzzy.
A book by Box, Hunter and Hunter  is an excellent source of additional information on experimental design. • Make measurements. • Estimate the magnitude of each uncertainty source after all of the measurements in the analysis plan are completed, Estimating the magnitude of uncertainty sources Determine the major sources of uncertainty thatFile Size: KB.
Introduction “While there has been substantial progress, a range of questions remain open around the measurement, cause, and effect of uncertainty, making this a fertile area of research.” (Nicholas Bloom, Stanford University, Journal of Economic Perspectives, 28(2), Bloom,p.
) This paper constructs Google Trends-based uncertainty indices (GTU indices henceforth) for the Cited by:. Download Citation | Facets of Generalized Uncertainty-based Information | Review of current research on broad concepts of uncertainty and information that is based on uncertainty reduction.
A.The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement by: One of the best sources for general discussions about uncertainty is the book Uncertainty-Based Information, by Klir and Wierman 1.
Professor Klir and his students (for example, Klir and T.A. Folger 2) have been focusing on uncertainty topics since the s, and this book represents an amalgamation and sharpening of the many ideas from their works.