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Implementation of an efficient Fuzzy Logic based Information Retrieval System

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arxiv 1503.03957 v1 pith:WIHMLG7T submitted 2015-03-13 cs.IR

Prabhjot Singh , Sumit Dhawan , Shubham Agarwal , Narina Thakur This is my paper · ORCID
classification cs.IR
keywords similarityfuzzydatasetquerysystemefficientimplementationindex
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper exemplifies the implementation of an efficient Information Retrieval (IR) System to compute the similarity between a dataset and a query using Fuzzy Logic. TREC dataset has been used for the same purpose. The dataset is parsed to generate keywords index which is used for the similarity comparison with the user query. Each query is assigned a score value based on its fuzzy similarity with the index keywords. The relevant documents are retrieved based on the score value. The performance and accuracy of the proposed fuzzy similarity model is compared with Cosine similarity model using Precision-Recall curves. The results prove the dominance of Fuzzy Similarity based IR system.

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  1. CRAG-MM-Diagnostics: Enabling Stage-Wise Analysis of Knowledge-Intensive VQA

    cs.CV 2026-07 conditional novelty 6.0 of 10

    Stage-wise annotations on CRAG-MM show that knowledge retrieval and reasoning, not visual grounding or object identification, is the dominant bottleneck in knowledge-intensive VQA.

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