Details

Autor(en) / Beteiligte

• Shihu Liu
• Xiaozhou Chen
• Wang, Patrick S. P.

Titel

Fuzzy collaborative clustering based ranking approach for factor granules

Ist Teil von

• 2016 IEEE 8th International Conference on Intelligent Systems (IS), 2016, p.486-491

Ort / Verlag

IEEE

Erscheinungsjahr

2016

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• By considering the fuzzy collaborative clustering, in this paper we investigate the ranking problem of factor granules, where the factor granule is composed by the patterns, the factors and the factor-induced information. Since the ideology of TOPSIS method is applied to obtain the finial ranking result, a referential factor granule is pre-provided. The collaborative information, i.e., the partition matrices of the factor granules to be ranked, are used to collaborate the clustering for the referential factor granule. By comparing the difference of the referential factor granule before and after collaboration in aspects of clustering results, we can sort these factor granules: the little the difference, the closer to the top of the sequence.