DocumentCode :
499022
Title :
Discriminance for equivalency of index systems based on fuzzy cluster analysis
Author :
Liu, Bao-Xiang ; Li, Yan-kun ; Yang, Ya-feng
Author_Institution :
Coll. of Sci., Hebei Polytech. Univ., Tangshan, China
Volume :
1
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
616
Lastpage :
618
Abstract :
For the diversity of the index system, papers propose the concept of absolute equivalence based on the idea of attribute reduction in rough set theory; then the definition of the lambda-equivalence between two index systems which have inclusion relation is given by the fuzzy cluster analysis method. A discriminance is given, and finally a case study.
Keywords :
computational complexity; fuzzy set theory; optimisation; rough set theory; statistical analysis; fuzzy cluster analysis; fuzzy cluster analysis method; index system diversity; index systems equivalency discriminance; lambda-equivalence; rough set theory; Cultural differences; Cybernetics; Decision making; Diversity reception; Educational institutions; Fuzzy set theory; Fuzzy systems; Machine learning; NP-hard problem; Set theory; Attribute reduction; Equivalence; Fuzzy cluster; Index system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212479
Filename :
5212479
Link To Document :
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