DocumentCode
2455318
Title
Research of Fuzzy Algorithm of Determining Threshold Value Based on MTS
Author
Chao Kuipeng ; Zong Peng
Author_Institution
Math. & Inf. Sci. Dept., Tangshan Teachers Coll., Tangshan, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
200
Lastpage
202
Abstract
MTS is a new pattern recognition method. Applying MTS, an unknown individual can be distinguished based on Mahalanobis space, measurement scale and threshold value. Experience threshold is often used in MTS and a reasonable threshold is necessary to MTS because an unreasonable threshold will give a wrong conclusion in practice. In this paper, the authors give the fuzzy algorithm steps to determine the threshold of MTS according to Fuzzy Set theory. An example application analysis shows that this method is a more scientific and reasonable method to determine the threshold.
Keywords
fuzzy set theory; pattern recognition; MTS; Mahalanobis space; Mahalanobis-Taguchi system; fuzzy algorithm; fuzzy set theory; measurement scale; pattern recognition method; threshold value; Arrays; Correlation; Equations; Extraterrestrial measurements; Fuzzy sets; Mathematical model; Pattern recognition; Mahalanobis space; degree of membership; threshold value;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8814-8
Electronic_ISBN
978-0-7695-4270-6
Type
conf
DOI
10.1109/ICCIS.2010.54
Filename
5708921
Link To Document