Fuzzy support vector machines for multilabel classification

作者：

Highlights：

• We develop a fuzzy support vector machine (FSVM) for multilabel classification.

• We resolve unclassifiable regions by membership functions.

• We also resolve undefined multilabels by membership functions.

• Effectiveness of the proposed FSVM is demonstrated by computer experiments.

摘要

Highlights•We develop a fuzzy support vector machine (FSVM) for multilabel classification.•We resolve unclassifiable regions by membership functions.•We also resolve undefined multilabels by membership functions.•Effectiveness of the proposed FSVM is demonstrated by computer experiments.

论文关键词：Multilabel classification,Pattern classification,Support vector machines,Training

论文评审过程：Received 12 September 2014, Revised 11 January 2015, Accepted 13 January 2015, Available online 19 January 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.01.009