Kód: 20392667
This book presents a contemporary view of the role of information quality in fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality ... celý popis
4945 Kč
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This book presents a contemporary view of the role of information quality in 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. Successful decision making in a complex human-machine environment depends on how well the knowledge produced by the processing chain represents reality, which in turn depends on adequate data, quality models, and accurate, appropriate, or applicable prior and contextual knowledge. The problem posed by the processing of a large amount of diverse information sources from physical sensors (infrared imagers, radars, chemical, etc.), human intelligence reports, and information obtained from open sources (newspapers and TV as well as social media), is complicated by the fact that data and information are of variable quality and may be unreliable, of low fidelity, contradictory, and/or redundant. Furthermore, there is often no guarantee that evidence obtained from the sources is based on direct, independent observations. Sources may provide unverified reports obtained from other sources (e.g., replicating information in social networks), resulting in correlations and biases. Some sources may maliciously collude and provide similar information in order to reinforce their opinion in the system. By offering contributions from leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion to support decision-making for researchers and professionals in the field.
4945 Kč
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