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Assessing the value of information in a fuzzy cognitive mapFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper, a technique will be presented for establishing the value of acquiring data on attributes
unavailable at the time an initial inference is made from a fuzzy cognitive map. The technique involves
three steps. In the first, an assessment is made of the reachability of unavailable attributes to the final
outcomes. This involves determining whether a chain of causality from the attribute of interest to the
outcome is present. If not, the attribute of concern can not affect the outcome and can be eliminated from
further consideration. For those nodes that can affect the outcome dominance in the chains of causality are
determined within the map. This is the second step in the process. If other paths dominate the chain of
interest such that the attribute can not affect the outcome regardless of its value, then it can also be
eliminated from further consideration. In the final step, assuming that the cost of acquiring the required
information has been incorporated into the map, a determination is made of the value of having the
additional data.
Paper Details
Date Published: 9 April 2007
PDF: 10 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710O (9 April 2007); doi: 10.1117/12.718465
Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)
PDF: 10 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 65710O (9 April 2007); doi: 10.1117/12.718465
Show Author Affiliations
Karl Perusich, Purdue Univ. (United States)
Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)
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