• DocumentCode
    2745553
  • Title

    Capturing the value of information in complex military environments: A fuzzy-based approach

  • Author

    Hammell, Robert J. ; Hanratty, Timothy ; Heilman, E.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Towson Univ., Towson, MD, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Today´s military operations require information from an unprecedented number of sources resulting in an overwhelming volume of collected data. A primary challenge for military commanders and their staff is separating the important information from the routine. Currently, the Value of Information (VOI) assigned a piece of information is a multiple step process requiring intelligence collectors and analysts to judge its value within a host of differing operational situations. The cognitive processes behind these conclusions resist codification with exact precision suggesting that new methodologies are required to deal with this significant issue. This paper presents an approach for calculating the VOI in complex military environments using a fuzzy associative memory model as an effective framework for contextually tuning the VOI based on the information´s content, source reliability and latency.
  • Keywords
    fuzzy set theory; military computing; VOI; Value of Information; complex military environments; fuzzy associative memory model; fuzzy-based approach; military commanders; Feeds; Fuzzy sets; Measurement; Military standards; Prototypes; Reliability; Fuzzy Associative Memory; NATO Standard Agreement 2022 (Information Valuation); Value of Information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6250786
  • Filename
    6250786