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Information quality in information fusion and decision making

Author: Éloi Bossé; Galina L Rogova
Publisher: Cham, Switzerland : Springer, [2019]
Series: Information Fusion and Data Science
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Éloi Bossé; Galina L Rogova
ISBN: 9783030036430 303003643X 9783030036447 3030036448
OCLC Number: 1099789404
Description: 1 online resource
Contents: PartI: Information Quality: Concepts, Models and Dimensions --
Chapter1: Information Quality in Fusion Driven Human-Machine Environments --
Chapter2: Quality of Information Sources in Information Fusion --
Chapter3: Using Quality Measures in the Intelligent Fusion of Probabilistic Information --
Chapter4: Conflict management in information fusion with belief functions --
Chapter5: Requirements for total uncertainty measures in the theory of evidence.-Chapter6: Uncertainty Characterization and Fusion of Information from Unreliable Sources --
Chapter7: Assessing the usefulness of information in the context of coalition operations --
Chapter8: Fact, Conjecture, Hearsay and Lies: Issues of Uncertainty in Natural Language Communications --
Chapter9: Fake or Fact? Theoretical and Practical Aspects of Fake News --
Chapter10: Information quality and social networks --
Chapter11: Quality, Context, and Information Fusion --
Chapter12: Analyzing Uncertain Tabular Data. Chapter13: Evaluation of information in the context of decision-making --
Chapter14: Evaluating and Improving Data Fusion Accuracy --
PartII: Aspects of Information Quality in various domains of application --
Chapter15: Decision-Aid Methods based on Belief Function Theory with Application to Torrent Protection --
Chapter16: An Epistemological Model for a Data Analysis Process in Support of Verification and Validation --
Chapter17: Data and Information Quality in Remote Sensing --
Chapter18: Reliability-Aware and Robust Multi-Sensor Fusion Towards Ego-Lane Estimation Using Artificial Neural Networks --
Chapter19: Analytics and Quality in Medical Encoding Systems --
Chapter20: Information Quality: The Nexus of Actionable Intelligence --
Chapter21: Ranking Algorithms: Application for Patent Citation Network --
Chapter22: Conflict Measures and Importance Weighting for Information Fusion applied to Industry 4.0 --
Chapter23: Quantify: An Information Fusion Model based on Syntactic and Semantic Analysis and Quality Assessments to Enhance Situation Awareness --
Chapter24: Adaptive fusion.
Series Title: Information Fusion and Data Science
Responsibility: Éloi Bossé, Galina L. Rogova, editors.

Abstract:

This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for  Read more...

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