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
Link To Document :
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