Title :
Multi-criteria direct clustering method based on hesitant fuzzy sets
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fDate :
May 31 2014-June 2 2014
Abstract :
With respect to the limitations of the distance measures of hesitant fuzzy sets, a new Hausdorff distance for hesitant fuzzy sets is proposed. The hesitant fuzzy similarity measure and the hesitant fuzzy similarity matrix are developed based on the new distance. Then, a direct clustering method to cluster hesitant fuzzy sets is proposed. Finally, a numerical example together with a comparison analysis is given to illustrate the effectiveness and feasibility of this method.
Keywords :
fuzzy set theory; operations research; pattern clustering; Hausdorff distance; distance measures; hesitant fuzzy sets; hesitant fuzzy similarity matrix; hesitant fuzzy similarity measure; multicriteria direct clustering method; Clustering methods; Correlation coefficient; Decision making; Educational institutions; Fuzzy sets; Matrix converters; Proposals; Hausdorff distance; direct clustering method; hesitant fuzzy sets; similarity measure;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852948
