Last edited by Jurn
Sunday, May 17, 2020 | History

4 edition of Uncertainty in information systems found in the catalog.

Uncertainty in information systems

an introduction to techniques and applications

by Anthony Hunter

  • 231 Want to read
  • 19 Currently reading

Published by McGraw-Hill Pub. Co. in London, New York .
Written in English

    Subjects:
  • Database management.,
  • Uncertainty (Information theory),
  • Information technology.

  • Edition Notes

    Includes bibliographical references(p. 165-184) and index.

    StatementAnthony Hunter.
    Classifications
    LC ClassificationsQA76.9.D3 H855 1996
    The Physical Object
    Paginationxi, :
    ID Numbers
    Open LibraryOL974410M
    ISBN 100077093267
    LC Control Number96011370

    and users of information systems. The aim of the workshop, entitled Uncertainty Management in Information Sys-tems: From Needs to Solutions (UMIS), is to bring together leading researchers in the scienti c communities of information systems (e.g., database systems, in-formation retrieval systems, expert systems, o ce information systems) and un-. Uncertainty and information are ideas that have a central role in contemporary economics in the domain of decision theory. The expected utility hypothesis is Author: Alberto Baccini.

    Book Abstract: Many important problems involve decision making under uncertainty -- that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. assemble a range of up-to-date research on uncertainty in remote sensing and GIScience to show the current status of the field and (iii) indicate future directions for research." As they point out in the final chapter, "We are still a long way from having an 'uncertainty button' in our geographical information systems.".

    This book is a collection of articles on the technologies needed for the construction of intelligent and information systems, and particularly on the role of uncertainty. The articles, written by some of the world's leading experts, cover the management of uncertainty and the modeling of intelligent and information systems. This book is the outcome of a discussion meeting of leading scholars and critical thinkers with expertise in complex systems sciences and leaders from a variety of organizations sponsored by the Prigogine Center at The University of Texas at Austin and the Plexus Institute to explore strategies for understanding uncertainty and surprise.


Share this book
You might also like
The greatest years in North-West cricket: 1919-1941

The greatest years in North-West cricket: 1919-1941

British colonist extra, Toronto, Tuesday, June 6, 1843

British colonist extra, Toronto, Tuesday, June 6, 1843

Diary of George McKinney Dunkle

Diary of George McKinney Dunkle

Alex, the amazing juggler

Alex, the amazing juggler

Shooting

Shooting

Synthetic polypeptides as antigens

Synthetic polypeptides as antigens

work of the American law school.

work of the American law school.

Symposium on corrosion fundamentals

Symposium on corrosion fundamentals

Edward Hopper, 1882-1967

Edward Hopper, 1882-1967

partial record of the Pease-Pees families

partial record of the Pease-Pees families

Standard reference data

Standard reference data

little Oxford dictionary of current English

little Oxford dictionary of current English

Uncertainty in information systems by Anthony Hunter Download PDF EPUB FB2

As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is.

Sources of Uncertainty in Information Systems Amihai Motro Department of Information and Software Systems Engineering George Mason University Fairfax, VA September Abstract We de ne a simple and general model of information systems, and use this model to classify the various kinds of uncertainty in information systems into two.

Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early s under the name.

This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete Intelligent systems are necessary to handle modern computer-based technologies 4/5(1).

The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from Octoberin Montreal.

A major aim of the workshop was to bring. Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory.

Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early s under the name Cited by: The Economics of Uncertainty and Information may be used in conjunction with Loffont's Fundamentals of Economics in an advanced course in texts provide a thorough account of modern thinking on the subject and a Cited by: From the Publisher: As the subtitle, From Needs to Solutions, indicates, this book presents viewpoints of information systems experts on the needs that challenge the uncertainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Get this from a library. Uncertainty Management in Information Systems: From Needs to Solutions. [Amihai Motro; Philippe Smets] -- Uncertainty Management in Information Systems: From Needs to Solutions is a book about how information systems can be made to manage information permeated with uncertainty.

This subject is at the. When the uncertainty is evaluated from a small number of measured values, the corresponding distribution can be taken as a t-distribution. For a Type B evaluation of uncertainty, it is often the case that the only available information is that X lies in a specified interval [a,b].

As the subtitle, "From Needs to Solutions," indicates, this book presents view­ points of information systems experts on the needs that challenge the uncer­ tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.

Note: If you're looking for a free download links of Uncertainty Management in Information Systems: From Needs to Solutions Pdf, epub, docx and torrent then this site is not for you. only do ebook promotions online and we does not distribute any free download of ebook on this site.

Uncertainty and intelligent information systems. Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge.

This book discusses the theories required to help # International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems ( TY - BOOK.

T1 - Uncertainty and Information Systems. AU - van der Blonk, H.C. AU - Huysman, M.H. PY - Y1 - M3 - Report. T3 - Research MemorandumCited by: 1. Uncertainty and Information: Foundations of Generalized Information Theory. By George J. Klir. Published by Wiley,pp., ISBN:[pounds sterling].

The Issue George Klir presents a comprehensive synopsis of the current innovative discussions concerning information processing and decision making under uncertainty.

The main idea of this book is to embrace uncertainty and initiate something that you have desired for a long time. Some ways to minimize the uncertainty that was introduced in this book were 1) co-creation with customers from feedback 2) set up daily routines so that you don't have to think about what you should do every time/5.

Abstract. The primary theme of this investigation is a decision theoretic account of conditional ought statements (e.g., “You ought to do A, if C”) that rectifies glaring deficiencies in classical deontic resulting account forms a sound basis for qualitative decision theory, thus providing a framework for qualitative planning under uncertainty.

Fuzzy Sets, Uncertainty, and Information also served as Editor in Chief of the International Journal of General Systems since and of the IFSR International Book Series on Systems Science and Engineering since He has received numerous professional awards, including five honorary doctoral degrees, Bernard Bolzano's Gold Medal.

Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early s under the name.

The book goes in-depth into explaining national and international measurement systems and standards, and includes a complete chapter on calibration and measurement trace ability. Measurement Uncertainty will show how to evaluate various uncertainties in measurements using several approaches including international consensus.

Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields: information science, decision science, geosciences, data science and computer science. It will appeal to both students and practitioners, and be a valuable resource for geoscientists, engineers and applied mathematicians.Uncertainty in Geographical Information - CRC Press Book.

As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized. It is highlighted by the need to demystify the inherently complex geographical world to facilitate computerization in GIS, by the.The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence.

The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring.