Multi Source Information Amalgamation Prototype: A Fuzzy Logic Approach
Abstract
As part of its ongoing research into the calculation of the value of information, the US Army Research Laboratory has expanded its single source Fuzzy Associative Memory model. The original model only accounted for a single source of data and calculated value based on the parameters of the data. The new model accounts for multi-source data and considers the relationship (supporting or conflicting) between the data when calculating value. This report outlines a software implementation for calculating value in the multi-source model.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 13, 2018
- Accession Number
- AD1060442
Entities
People
- Drew Kogon
- John Richardson
- Timothy Hanratty
Organizations
- United States Army Research Laboratory