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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 5,May 2012
Study of Imperfect Information Representation and FSQL processing
Full Text(PDF, )  PP.956-962  
Kamal Singh, Kundan Prasad, Mahendra Kumar, A.K. Sharma
SQL, Fuzzy SQL, Fuzzy logic, Fuzzy database
Structured Query Language (SQL) is a very powerful too, but it is unable to satisfy needs for data selection based on linguistic expressions and degree of truth. As we know that the information in real-world applications is often vague, imprecise and uncertain. Fuzzy logic breaks the rigid crisp logic boundaries and allows decision to be taken in a more realistic manner. In database context, several fuzzy database (DB) models have been proposed. In these works, fuzziness is introduced at different levels. Common to all these proposals is the support of fuzziness at the attribute level and introducing fuzziness in querying permits the realistic querying on the crisp data as well as on fuzzy databases. Fuzzy query is not only a querying tool; it improves the meaning of querying extracts additional valuable information. The goal of research whose result presented in paper is to understand the implementation of imprecise data and explain FSQL (Fuzzy Structured Query Language). 
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