ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Retrieval of Information Using Fuzzy Queries

Journal: International Journal of Engineering and Techniques (Vol.2, No. 3)

Publication Date:

Authors : ;

Page : 118-122

Keywords : vague; fuzzy logic; interactive search; membership function; fuzzy variables;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

The classical or traditional information system provides answer after a user submits a complete query. It is even noticed that presently, almost all the relational database systems rely on the query which has syntax and semantics defined completely to access data. But often it is the case that we are willing to use vague terms in our query. The main objective of database management system is to provide an environment that is both convenient and efficient for people to use in storing and retrieving information. A recent trend of supporting auto complete is a first step to cope up with this problem. We can have design of both classical and fuzzy database and can use effectively fuzzy queries on these databases. Fuzzy databases are developed to manipulate the incomplete, unclear and vague data such as low, fast, very high, about etc. The primary focus of fuzzy logic is on the natural language. This Paper provides the users the flexibility or freedom to query database using natural language. Here this paper implements “interactive fuzzy search”. This framework for interactive fuzzy search permits the user to explore the data as they type even in the presence of some minor errors. This paper applies fuzzy queries on relational database so that it is possible to have the precise result as well as the output for the uncertain terms we generally use based on some membership function .

Last modified: 2018-05-18 19:39:43