IFC-Filter: Membership function generation for inductive fuzzy classification

作者：

Highlights：

• We survey the literature on fuzzy classification.

• We introduce a novel algorithm for membership function generation from data.

• We present a software prototype that implements this algorithm.

• We evaluate our system qualitatively based on two case studies in real organizations.

• Conclusion: the resulting models can visually explain the data to human experts.

摘要

•We survey the literature on fuzzy classification.•We introduce a novel algorithm for membership function generation from data.•We present a software prototype that implements this algorithm.•We evaluate our system qualitatively based on two case studies in real organizations.•Conclusion: the resulting models can visually explain the data to human experts.

论文关键词：Knowledge discovery from data,Fuzzy classification,Membership function generation,Inductive logic,Visual analytics

论文评审过程：Available online 28 June 2015, Version of Record 19 August 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.034