Title :
MTS Algorithm Based on Vague Set
Author_Institution :
Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
Abstract :
MTS is a pattern recognition method and it can only achieve a single category of identification. But Multi-class pattern recognition problem are most common in the process of pattern recognition. As decision-maker´s cognition of things is vague and uncertain and vague set is an effective way to deal with uncertainty problem, so the author tries to combine vague set with MTS to construct Multi-class pattern recognition model and give a specific steps of algorithm.
Keywords :
Taguchi methods; pattern recognition; set theory; Mahalanobis Taguchi system algorithm; multiclass pattern recognition problem; uncertainty problem; vague set; Arrays; Correlation; Diseases; Fuzzy sets; Medical diagnosis; Optimization; Pattern recognition; MTS; Multi-class pattern recognition; Vague set;
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
DOI :
10.1109/ISIE.2011.123