Empirical Study on Combining Complementary and Contradictory Information in a Fuzzy-based System

被引:0
|
作者
Hammell, Robert. J., II [1 ]
Hanratty, Timothy [2 ]
Miao, Sheng [1 ]
机构
[1] Towson Univ, Dept Comp & Informat Sci, Towson, MD 21252 USA
[2] US Army, Res Lab, Computat & Informat Sci Directorate, Aberdeen Proving Ground, MD USA
关键词
Information aggregation; information fusion; situational assessment; fuzzy associative memory; decision support system; intelligence analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In today's military environment large quantities of distinct information are available. In a time-constrained environment it is vital to have some way to judge the relative importance of information. Recent research has developed a fuzzy-based system to assign a Value of Information (VoI) determination for individual pieces of information. Subsequent work presented ideas for integrating complementary and/or contradictory information into the VoI process. This paper presents the results from experiments examining the idea of using complementary and/or contradictory new information to impact the previously used fuzzy membership values for the information content characteristic applied in the VoI calculations.
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页数:8
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