Discriminance for equivalency of index systems based on fuzzy cluster analysis

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....

Full description

Saved in:
Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 616 - 618
Main Authors Bao-Xiang Liu, Yan-Kun Li, Ya-Feng Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Attribute reduction
Cultural differences
Cybernetics
Decision making
Diversity reception
Educational institutions
Equivalence
Fuzzy cluster
Fuzzy set theory
Fuzzy systems
Index system
Machine learning
NP-hard problem
Set theory
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212479