Abstract:
A novel approach to informational retrieval from document collections is presented. The
approach strikes a balance between Boolean models and vector models of information by
employing fuzzy for determining similarity between user query and the searched
document. The fuzzy approach is ideally suited for the ranking of documents and
enhancing exact match based search with synonym based search. Experimental results
show that the fuzzy inference system for in-formation retrieval is the best system to
enhance the retrieval performance both in terms of precision and recall rates
