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Erschienen in:
Introduction Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

4. Information Quality in Information Fusion and Decision Making with Applications to Crisis Management

verfasst von : Galina L. Rogova

Erschienen in: Fusion Methodologies in Crisis Management

Verlag: Springer International Publishing

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Abstract

Designing fusion systems for decision support in complex dynamic situations such as crises requires fusion of a large amount of multimedia and multispectral information coming from geographically distributed sources to produce estimates about objects and gain knowledge of the entire domain of interest. Information to be fused and made sense of includes but is not limited to data obtained from physical sensors, surveillance reports, human intelligence reports, operational information, and information obtained from social medial, opportunistic sensors and traditional open sources (internet, radio, TV, etc.). Successful processing of this information may also demand information sharing and dissemination, and action cooperation of multiple stakeholders. Decision making in such environment calls for designing a fusion-based human–machine system characterizing constant information exchange between all nodes of the processing. The quality of decision making strongly depends on the success of being aware of, and compensating for, insufficient information quality at each step of information exchange. Designing the methods of representing and incorporating information quality into such processing is a relatively new and a rather difficult problem. The chapter discusses major challenges and suggests some approaches to address this problem.

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Vorheriges Kapitel Cognitive Aspects of Higher Level Fusion
Nächstes Kapitel Uncertainty Representations for Information Retrieval with Missing Data
Fußnoten
1
In the rest of this chapter, data and information will be used interchangeably.
 
2
JDL: Joint Directors of Laboratories, a US DoD government committee overseeing US defense technology R&D; the Data Fusion Group of the JDL created the original data fusion 4 level model.
 
3
Usually this measure is referred to uncertainty only and is called “higher order uncertainty,” which is treated without relation to the other quality attributes. Here we define this measure for any quality characteristic and consider it with relation to other attributes.
 
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Metadaten
Titel
Information Quality in Information Fusion and Decision Making with Applications to Crisis Management
verfasst von
Galina L. Rogova
Copyright-Jahr
2016
Buch
Fusion Methodologies in Crisis Management

Print ISBN: 978-3-319-22526-5

Electronic ISBN: 978-3-319-22527-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-22527-2_4

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