UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS by Amihai Motro (Editor), Philippe Smets (Editor) ( 9780792398035 )

Item Details

Title:

UNCERTAINTY MANAGEMENT IN INFORMATION SYSTEMS
FROM NEEDS TO SOLUTIONS

By:

Amihai Motro (Editor), Philippe Smets (Editor)

Format:

Hardback

List price:	£181.00
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ISBN 10:

0792398033

ISBN 13:

9780792398035

Publisher:

SPRINGER

Edition:

1997 ed.

Pages:

464

Description:

Describes how information systems can be made to manage information permeated with uncertainty. This book describes issues and challenges in the area of imperfect information that confront information systems. It covers the principal theories for modeling imperfect information, and shows how these theories may be adapted to information systems.

Synopsis:

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.

Illustrations:

XVI, 464 p.

Publication:

Netherlands

Imprint:

Springer

Returns:

Returnable

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