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Uncertainty Management in Information Systems

From Needs to Solutions

  • Book
  • © 1997

Overview

Editors:
  1. Amihai Motro

    1. George Mason University, Fairfax, USA

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  2. Philippe Smets

    1. Université Libre de Bruxelles, Brussels, Belgium

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Introduction

    • Amihai Motro
    Pages 1-8

  3. Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems

    • Amihai Motro
    Pages 9-34

  4. Imperfect Information in Relational Databases

    • Esteban Zimányi, Alain Pirotte
    Pages 35-87

  5. Uncertainty in Intelligent Databases

    • Robert Demolombe
    Pages 89-126

  6. Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases

    • Stephen Kwan, Frank Olken, Doron Rotem
    Pages 127-153

  7. Knowledge Discovery and Acquisition from Imperfect Information

    • Gregory Piatetsky-Shapiro
    Pages 155-188

  8. Uncertainty in Information Retrieval Systems

    • Howard R. Turtle, W. Bruce Croft
    Pages 189-224

  9. Imperfect Information: Imprecision and Uncertainty

    • Philippe Smets
    Pages 225-254

  10. Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction

    • Max Henrion, Henri J. Suermondt, David E. Heckerman
    Pages 255-284

  11. An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases

    • Patric Bosc, Henri Prade
    Pages 285-324

  12. Logical Handling of Inconsistent and Default Information

    • Philippe Besnard, Luis Fariñas del Cerro, Dov Gabbay, Anthony Hunter
    Pages 325-341

  13. The Transferable Belief Model for Belief Representation

    • Philippe Smets, Rudolf Kruse
    Pages 343-368

  14. Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems

    • Piero P. Bonissone
    Pages 369-395

  15. On the Classification of Uncertainty Techniques in Relation to the Application Needs

    • E. H. Mamdani
    Pages 397-411

  16. A Bibliography on Uncertainty Management in Information Systems

    • Curtis E. Dyreson
    Pages 413-458

  17. Back Matter

    Pages 459-464
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Keywords

About this book

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 an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. 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.

Editors and Affiliations

  • George Mason University, Fairfax, USA

    Amihai Motro

  • Université Libre de Bruxelles, Brussels, Belgium

    Philippe Smets

Bibliographic Information

  • Book Title: Uncertainty Management in Information Systems

  • Book Subtitle: From Needs to Solutions

  • Editors: Amihai Motro, Philippe Smets

  • DOI: https://doi.org/10.1007/978-1-4615-6245-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1997

  • Hardcover ISBN: 978-0-7923-9803-5Published: 31 December 1996

  • Softcover ISBN: 978-1-4613-7865-5Published: 06 December 2011

  • eBook ISBN: 978-1-4615-6245-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVI, 464

  • Topics: Artificial Intelligence, Natural Language Processing (NLP), Operations Research/Decision Theory

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