Title :
Implication rules in interval-valued decision formal contexts
Author :
Shao, Ming-wen ; Yang, Hong-zhi
Author_Institution :
Coll. of Inf. Sci. & Technol., Shihezi Univ., Shihezi, China
Abstract :
In the paper, we introduce the notion of interval-valued decision formal contexts by dividing the attributes into condition attributes and decision attributes. Based on a implication mapping, problems of rule acquisition of real decision formal contexts are examined. We present how to extract ldquoif-thenrdquo rules from the interval-valued decision formal contexts in details.
Keywords :
data analysis; set theory; condition attributes; decision attributes; formal concept analysis; interval-valued decision formal contexts; Cybernetics; Machine learning; Concept lattice; Formal concept analysis; Real Sets; Rule acquisition;
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
DOI :
10.1109/ICMLC.2009.5212509
