Framework to Evaluate Entropy Based Data Fusion Methods in Supply Chain Management
Description:
This dissertation explores data fusion methodology to deduce an overall inference from the data gathered from multiple heterogeneous sources. Typically, if there existed a data source in which the data were reliable and unbiased, then data fusion would not be necessary. Data fusion methodology combines data form multiple diverse sources so that the desired information - such as the population mean - is improved despite redundancies, inaccuracies, biases, and inflated variability in the data. …
more
Date:
December 2016
Creator:
Tran, Huong Thi
Partner:
UNT Libraries