A Fuzzy Logic Decision Support Tool
Abstract
This report describes a fuzzy logic decision tool developed at NOSC under Independent Exploratory Development funding. The tool implements alternate versions of an algorithm based on results published by Zadeh, Bellman, Saaty, and Yager. The tool has broad application to command and control systems since decision making in a military context usually involves imprecise knowledge and subjective goals. Decision making is defined as an act of rational choice. In particular, given a set of possible choices for a given situation, the optimal choice is the one that meets a particular set of objectives best. Best implies that a utility function over objectives can be optimized. An important enhancement of this model uses fuzzy sets to represent uncertain objectives and incomplete information about a situation (Zadeh & Bellman, 1970). The ability to represent multiple-objective decision problems involving vague or fuzzy objectives is, in fact, one of the more useful applications of fuzzy set theory. This report presents an algorithm for solving multiple-objective decision problems when the objectives have differing degrees of importance. Keywords: Command and control systems, Computer logic, Programming languages, Artificial intelligence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1989
- Accession Number
- ADA216192
Entities
People
- R. A. Dillard
- R. W. Larsen