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