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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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.
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Hardcover. Condition: new. Hardcover. This 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 modelling 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 the text describes issues and challenges in the area of imperfect information that confront information systems, and the second part covers the principal theories for modelling imperfect information, and shows how these theories may be adapted to information systems. All chapters 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780792398035
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