A new fuzzy logic based ranking function for efficient Information Retrieval system

作者：

Highlights：

• A fuzzy logic based ranking function is proposed to enhance Information Retrieval.

• It is based on Composite Fuzzy Inference System with 259 fuzzy rules.

• The performance is tested in terms of precision, recall and F-measure on CACM and CISI.

• The better results are obtained as compared to Okapi-BM25 and Rubens’ approach.

• A paired t-test is also conducted to perform statistical analysis.

摘要

•A fuzzy logic based ranking function is proposed to enhance Information Retrieval.•It is based on Composite Fuzzy Inference System with 259 fuzzy rules.•The performance is tested in terms of precision, recall and F-measure on CACM and CISI.•The better results are obtained as compared to Okapi-BM25 and Rubens’ approach.•A paired t-test is also conducted to perform statistical analysis.

论文关键词：Information Retrieval,Fuzzy Logic Controller,Precision,Recall,Ranking function

论文评审过程：Available online 19 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.009