Ebook: Uncertainty Management in Information Systems: From Needs to Solutions

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.

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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 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.
The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style.
This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.

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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 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.
The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style.
This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.
Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-8
Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems....Pages 9-34
Imperfect Information in Relational Databases....Pages 35-87
Uncertainty in Intelligent Databases....Pages 89-126
Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases....Pages 127-153
Knowledge Discovery and Acquisition from Imperfect Information....Pages 155-188
Uncertainty in Information Retrieval Systems....Pages 189-224
Imperfect Information: Imprecision and Uncertainty....Pages 225-254
Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction....Pages 255-284
An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases....Pages 285-324
Logical Handling of Inconsistent and Default Information....Pages 325-341
The Transferable Belief Model for Belief Representation....Pages 343-368
Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems....Pages 369-395
On the Classification of Uncertainty Techniques in Relation to the Application Needs....Pages 397-411
A Bibliography on Uncertainty Management in Information Systems....Pages 413-458
Back Matter....Pages 459-464

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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 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.
The first part of this book describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems. All chapters are original contributions and present solutions that have been applied and the experiences that have been gained from those solutions. The material has been closely edited by the book's editors for content, consistency and style.
This authoritative book is state-of-the-art coverage of `Uncertainty Management in Information Systems'.
Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-8
Sources of Uncertainty, Imprecision, and Inconsistency in Information Systems....Pages 9-34
Imperfect Information in Relational Databases....Pages 35-87
Uncertainty in Intelligent Databases....Pages 89-126
Uncertain, Incomplete, and Inconsistent Data in Scientific and Statistical Databases....Pages 127-153
Knowledge Discovery and Acquisition from Imperfect Information....Pages 155-188
Uncertainty in Information Retrieval Systems....Pages 189-224
Imperfect Information: Imprecision and Uncertainty....Pages 225-254
Probabilistic and Bayesian Representations of Uncertainty in Information Systems: A Pragmatic Introduction....Pages 255-284
An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases....Pages 285-324
Logical Handling of Inconsistent and Default Information....Pages 325-341
The Transferable Belief Model for Belief Representation....Pages 343-368
Approximate Reasoning Systems: Handling Uncertainty and Imprecision in Information Systems....Pages 369-395
On the Classification of Uncertainty Techniques in Relation to the Application Needs....Pages 397-411
A Bibliography on Uncertainty Management in Information Systems....Pages 413-458
Back Matter....Pages 459-464
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