Title :
The Application of Rough Comprehensive Evaluation Method
Author_Institution :
Dept. of Math. & Comput. Sci., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
Firstly, the authors generalize the indiscernible relation to similarity relation, give a definition of λ-discernibility matrix; secondly, according to the properties of λ-discernibility matrix, an algorithm of computing significance of each condition attribute is put forward; thirdly, we give the comprehensive weight of each attribute according to subjective and objective weight; at last, the reasonable and available of this algorithm is accounted for through an example.
Keywords :
matrix algebra; rough set theory; comprehensive attribute weight; discernibility matrix; objective weight; rough comprehensive evaluation method; subjective weight; Decision support systems; Expert systems; Knowledge representation; Machine learning; Machine learning algorithms; Mathematics; Pattern recognition; Set theory; Wearable computers; assessment; rough sets; significance; similarity relation;
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
DOI :
10.1109/APWCS.2010.109
