A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion

Jagendra Singh, Mukesh Prasad, Om-Kumar Prasad, Er Meng Joo, Amit Kumar Saxena, Chin-Teng Lin

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


In this paper, a novel fuzzy logic-based expansion approach considering the relevance score produced by different rank aggregation approaches is proposed. It is well known that different rank aggregation approaches yield different relevance scores for each term. The proposed fuzzy logic approach combines different weights of each term by using fuzzy rules to infer the weights of the additional query terms. Experimental results demonstrate that the proposed approach achieves significant improvement over individual expansion, aggregated and other related state-of-the-arts methods.
Original languageEnglish
Pages (from-to)980-989
Number of pages10
JournalInternational Journal of Fuzzy Systems
Issue number6
StatePublished - Dec 2016


  • Fuzzy logic
  • Rank aggregation
  • Query expansion
  • Pseudo relevance feedback
  • Information retrival

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