• Dr. ASHISH KUMAR TAMRAKAR
• Dr. VISHNU KUMAR MISHRA
• Dr. MEGHA MISHRA

The modern information based systems to make them more human friendly. Dealing with information inaccuracy, fuzzy techniques have been widely integrated with different database models and theories. The traditional query in relational database is unable to satisfy the needs for dealing with fuzzy linguistic values. In this paper, a new data query technique composed of fuzzy theory and MS-SQL is provided. Here, the query can be implemented for fuzzy linguistic variables query via an interface to JAVA SWING. Natural language processing based systems are extremely capable to represent and manipulate the complex query as complicated and uncertain relationship existing among them. They are also much appropriate for engineering and scientific applications, managing with large data intensive applications. In this paper, a survey of different approaches regarding integration of fuzzy techniques in natural language complex query processing has been discussed, related to numerous types of conceptual data modeling, querying and indexing. Now I will try to build a software tool which can perform the work on complex query and we can fetch the information from the database very easily.

A Natural Language, Fuzzy Sets and Fuzzy Logic, Fuzzy Query, Fuzzy Theory, MS-SQL, Relational Database.

"NATURAL LANGUAGE QUERY PROCESSING BASED ON FUZZIFICATION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.1365-1371, July-2018, Available :http://www.jetir.org/papers/JETIR180Z091.pdf

"NATURAL LANGUAGE QUERY PROCESSING BASED ON FUZZIFICATION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp1365-1371, July-2018, Available at : http://www.jetir.org/papers/JETIR180Z091.pdf