Information Quality in Information Fusion and Decision Making

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bossé, Éloi (Editor, http://id.loc.gov/vocabulary/relators/edt), Rogova, Galina L. (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Information Fusion and Data Science,
• Subjects: Data mining.; Big data.; Artificial intelligence.; Operations research.; Decision making.; Computational intelligence.; Sociophysics.; Econophysics.; Data Mining and Knowledge Discovery.; Big Data/Analytics.; Artificial Intelligence.; Operations Research/Decision Theory.; Computational Intelligence.; Data-driven Science, Modeling and Theory Building.

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. Informati...

Table of 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.