Title :
A novel decision making system based on binary feature matrix and its applications in power system
Author :
Nguyen, Thai ; Liao, Yuan
Author_Institution :
Univ. of Kentucky, Lexington
Abstract :
Various decision making methods have been proposed in the past for diverse applications. However, there is still a need for improvement: existing methods are either time consuming or difficult to expand when needed. This paper presents a novel decision making method based on binary feature matrix. This new method has the advantages of easier expansion of the rule set with additional features and being faster. Potential applications in electric power system are discussed.
Keywords :
decision making; matrix algebra; power systems; set theory; binary feature matrix; decision making system; power system; rule set; Application software; Artificial neural networks; Decision making; Electric potential; Fuzzy logic; Humans; Hybrid intelligent systems; Neural networks; Neurons; Power systems;
Conference_Titel :
Southeastcon, 2008. IEEE
Conference_Location :
Huntsville, AL
Print_ISBN :
978-1-4244-1883-1
Electronic_ISBN :
978-1-4244-1884-8
DOI :
10.1109/SECON.2008.4494335
