Contracting Agency: Ballistic Missile Defense Organization (BMDO)
Point of Contact: Ron Fernandes, Ph.D., College Station, Texas

Overview

In a general sense, data fusion can be defined as "the set of methods, tools and means that uses data coming from various sources of different nature, in order to increase the quality (in a broad sense) of the requested information." At an intuitive level, data fusion, in taking more than one source of information into account, reflects the human perception and decision-making capabilities. A unified approach for designing decision support systems that support data fusion can make an enormous difference in the ease and efficiency of decision making. The approach for this SBIR effort involved the development of an intelligent adaptive data fusion system using soft computing paradigms including neural networks, fuzzy logic, and genetic algorithms.