Uncertainty Management in Information Systems: From Needs to Solutions / Edition 1
by Amihai MotroAs 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. Hence, this book is not a collection of… See more details below
Overview
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. Hence, this book is not a collection of research papers, in which researchers describe their latest research projects; such collections, as excellent as they may be, do not necessarily cover an area methodically, and individual papers are often inaccessible to nonexperts. Rather, we began by outlining the structure of a book that will cover the entire spectrum of uncertainty modeling in information systems, and then requested leading experts to write authoritative tutorials and surveys that would fit the outline.
Product Details
- ISBN-13:
- 9780792398035
- Publisher:
- Springer US
- Publication date:
- 12/31/1996
- Edition description:
- 1997
- Pages:
- 464
- Product dimensions:
- 9.21(w) x 6.14(h) x 1.06(d)
Table of Contents
Preface | ||
1 | Introduction | 1 |
2 | Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems | 9 |
3 | Imperfect Information in Relational Databases | 35 |
4 | Uncertainty in Intelligent Databases | 89 |
5 | Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases | 127 |
6 | Knowledge Discovery and Acquisition from Imperfect Information | 155 |
7 | Uncertainty in Information Retrieval Systems | 189 |
8 | Imperfect Information: Imprecision and Uncertainty | 225 |
9 | Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction | 255 |
10 | An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases | 285 |
11 | Logical Handling of Inconsistent and Default Information | 325 |
12 | The Transferable Belief Model for Belief Representation | 343 |
13 | Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems | 369 |
14 | On the Classification of Uncertainty Techniques in Relation to the Application Needs | 397 |
15 | A Bibliography on Uncertainty Management in Information Systems | 413 |
Index | 459 |
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