DocumentCode
2949655
Title
MTS Algorithm Based on Vague Set
Author
Zong Peng
Author_Institution
Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
fYear
2011
fDate
20-21 Aug. 2011
Firstpage
257
Lastpage
260
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISIE.2011.123
Filename
5997429
Link To Document