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Imprecise data assessment for information retrieval using fuzzy associative memory mechanisms
Published in Blue Eyes Intelligence Engineering and Sciences Publication
2019
Volume: 8
   
Issue: 5
Pages: 483 - 487
Abstract
Query processing is the primary task in information retrieval.Either user information is a keyword or a sentence based the answer display to the user is only what the resultant obtained from query execution. If the correct information to be executed was given the processing time minimized to the maximum extent by avoiding unnecessary formalisms, tuning, identifying the nearest relevance, etc. instead directly the query can be allowed to process. In this paper, an approach was proposed to assess the incoming user data imprecise extent and its reutilization level for future use instead of avoiding as wrong or irrelevant.Fuzzy associative memory mechanism was deployed to assist and associate user compatibility while retrieving information. © BEIESP.
About the journal
JournalInternational Journal of Engineering and Advanced Technology
PublisherBlue Eyes Intelligence Engineering and Sciences Publication
ISSN22498958