Imprecise Data Assessment for Information retrieval using Fuzzy Associative Memory Mechanisms
P. Mohan Kumar

Mohan Kumar P, Department of Digital Communications, VIT University, Vellore (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 483-487 | Volume-8 Issue-5, June 2019 | Retrieval Number: E6987068519/19©BEIESP
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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
Keywords: Imprecise, Fuzzy, Semantic Query, Data Assessment, Reuse

Scope of the Article: Fuzzy Logics