DocumentCode :
2119932
Title :
Research of MTS Method Based on Vague Set
Author :
Chao, Kuipeng
Author_Institution :
Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
fYear :
2010
fDate :
24-26 Dec. 2010
Firstpage :
279
Lastpage :
282
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 :
decision making; pattern recognition; set theory; uncertainty handling; MTS method; decision maker cognition; multiclass pattern recognition problem; uncertainty problem; vague set; Arrays; Correlation; Diseases; Medical diagnosis; Optimization; Pattern recognition; Prediction algorithms; MTS; Multi-class pattern recognition; Vague set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location :
Shanghai
ISSN :
2160-1283
Print_ISBN :
978-1-61284-428-2
Type :
conf
DOI :
10.1109/ISISE.2010.64
Filename :
5945103
Link To Document :
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