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 :
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