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4 edition of Incompleteness and uncertainty in information systems found in the catalog.

Incompleteness and uncertainty in information systems

proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8-9 October 1993

by SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems (1993 Concordia University)

  • 198 Want to read
  • 14 Currently reading

Published by Springer-Verlag in London, New York .
Written in English

    Subjects:
  • Database management -- Congresses.,
  • Software engineering -- Congresses.

  • Edition Notes

    StatementV.S. Alagar, S. Bergler, and F.Q. Dong, eds.
    SeriesWorkshops in computing
    ContributionsAlagar, Vangalur S., 1940-, Bergler, S., Dong, F. Q. 1961-, British Computer Society.
    Classifications
    LC ClassificationsQA76.9.D3 S63 1993
    The Physical Object
    Paginationviii, 233 p. :
    Number of Pages233
    ID Numbers
    Open LibraryOL1220140M
    ISBN 100387198970, 3540198970
    LC Control Number94219023

    Uncertainty in Geographical Information (Research Monographs in Geographic Information Systems,) [Jingxiong Zhang, Michael F. Goodchild] on shareholderdemocracy.com *FREE* shipping on qualifying offers. As Geographic Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly shareholderdemocracy.com by: Get this from a library! Uncertainty Management in Information Systems: From Needs to Solutions. [Amihai Motro; Philippe Smets] -- 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.

    For further information, including about cookie settings, please read our Cookie Policy. By continuing to use this site, you consent to the use of cookies. By continuing to use this site, you. and users of information systems. The aim of the workshop, entitled Uncertainty Management in Information Sys-tems: From Needs to Solutions (UMIS), is to bring together leading researchers in the scienti c communities of information systems (e.g., database systems, in-formation retrieval systems, expert systems, o ce information systems) and un-.

    representing all aspects of uncertainty within a system to store and query this data. Keywords: Uncertainty, Historical GIS. 1. Introduction Our research focusses on uncertainty issues related to historical geographic information systems. A prototype is being developed in the context of a digital humanities research project. By aligning. from book Fuzzy Systems and Knowledge Discovery: accepting the evaluated incompleteness, relaxing the data definition to increase the presented the attribute uncertainty in GIS data, with.


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Incompleteness and uncertainty in information systems by SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems (1993 Concordia University) Download PDF EPUB FB2

Incompleteness and Uncertainty in Information Systems Book Subtitle Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8–9 October The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from Octoberin Montreal.

The construction of any broadly understood theory of information or infor­ mation processing system involves two major methodological processes: (1) abstraction and analysis, (2) reasoning and computing.

This monograph is a realisation of these two processes in relation to the study of incompleteness of information. 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. Uncertainty and Information: Foundations of Generalized Information Theory [George J.

Klir] on shareholderdemocracy.com *FREE* shipping on qualifying offers. Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of Cited by: A complete system in the case of 1) is called by us exact and in the case of 2) is called by us approximate.

An incomplete system is called by us inexact, or uncertain, or vague, in the case of 1) or strongly uncertain, or strongly vague in the case of 2).Author: Urszula Wybraniec-Skardowska. A necessary condition for ensuring robustness and safety in reactive systems is to ensure that system specification is complete with respect to the initial requirements.

In this paper, we introduce Author: Vangalur S. Alagar, Fangqing Dong, Ramesh Achuthan. May 12,  · Scientific Uncertainty and Information focuses on the validation of theories developed in physics, chemistry, biology, and other fields of science. The book first elaborates on thermodynamics, statistics, and information and the importance of scientific shareholderdemocracy.com Edition: 1.

Uncertainty permeates our understanding of the real world. The purpose of information systems is to model the real world. Hence, information systems must be able to deal with uncertainty.

And, indeed, many information systems include capabilities for dealing with some kinds of uncertainty. Incompleteness and Uncertainty in Information Systems, Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, October Workshops in Computing, SpringerISBN Sep 01,  · This book is a collection of articles on the technologies needed for the construction of intelligent and information systems, and particularly on the role of uncertainty.

The articles, written by some of the world's leading experts, cover the management of uncertainty and the modeling of intelligent and information systems. From the Publisher: 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.

incompleteness of information. The major contribution of the article is to decision. I argue that error, uncertainty, and incompleteness are necessary and important aspects of how humans organized and use their knowledge; it is recommended to take them into account when designing and using GIS.

information systems can only avoid making. We present some consequences of the assumption that objects are classified on the basis of a partial information about them encoded in information systems. The presented results are based on the Management of Uncertainty in AI: A Rough Set Approach | SpringerLinkCited by: The uncertainty and vagueness of data play an important role in practical applications, so how to capture the uncertainty of information becomes more and more popular.

Rough set theory, proposed by Pawlak [1], [2], is a powerful mathematical tool to deal with uncertainty, granularity and incompleteness of knowledge in information shareholderdemocracy.com by: Gödel's incompleteness theorems are two theorems of mathematical logic that demonstrate the inherent limitations of every formal axiomatic system capable of modelling basic arithmetic.

These results, published by Kurt Gödel inare important both. Incompleteness and uncertainty in information systems: proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, 8.

This article investigates the effects of incompleteness, error, approximation, and uncertainty in geographic information on the design of a GIS restricted to description of physical reality.

Get this from a library. Incompleteness and Uncertainty in Information Systems: Proceedings of the SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems, Concordia University, Montreal, Canada, October [V S Alagar; S Bergler; F Q Dong] -- This volume contains papers from the Workshop on Incompleteness and Uncertainty in Information Systems.

The Information Source Tracking (IST) Method has been recently proposed for the modeling and management of uncertain and inaccurate information in relational and deductive database systems. In this paper we will discuss the application of IST to object-oriented databases (OODBs).Cited by: 2.

information system products. A major reason might be found in the difficulty to understand the various aspects of imprecision and uncertainty.

Is there imprecision and uncertainty in the real world? This is an open question. Whatever the answer, it must be recognized that our picture of the world, that corresponds to the only information we can.Abstract: Knowledge acquisition is an essential process in improving the problem-solving capabilities of existing knowledge-based systems through the absorption of new information and facilitating change in current knowledge.

However, without a verification mechanism, these changes could result in violations of semantic soundness of the knowledge causing inconsistencies and ultimately.Uncertainty Management in Information Systems: From Needs to Solution.

Kluwer Academic Publishers, BostonISBNpp. no documents available.