Querying Capability Enhancement in Database Using Fuzzy Logic

Dr. Amit Garg; Dr. Rahul Rishi

Querying Capability Enhancement in Database Using Fuzzy Logic

Dr. Amit Garg * §

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Dr. Rahul Rishi

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§ indus institute of engg & tech.,kinana(jind)

Querying Capability Enhancement in Database Using Fuzzy Logic

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Abstract

We already know that Structured Query Language (SQL) is a very powerful tool. It handles data, which is crisp and precise in nature.but it is unable to satisfy the needs for data which is uncertain, imprecise, inapplicable and vague in nature. The goal of this work is to use Fuzzy techniques i.e linguistic expressions and degrees of truth whose result are presented in this paper. For this purpose we have developed the fuzzy generalized logical condition for the WHERE part of SQL. In this way, fuzzy queries are accessing relational databases in the same way as with SQL. These queries with linguistic hedges are converted into Crisp Query, by deploying an application layer over the Structured Query Language.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Amit Garg, Dr. Rahul Rishi. . "Querying Capability Enhancement in Database Using Fuzzy Logic". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 6).

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GJCST Volume 12 Issue 6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Fuzzy logic Fuzzy Query Fuzzy Relational Databases Fuzzy Sets Fuzzy SQL Linguistic variable Membership value

Classification

GJCST Classification I.5.1

Submission ReceivedApril 6, 2012
Peer Review Double Blind
Handling Editor
Accepted May 2, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

March 27, 2012

Language

English

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Article Matrices

Total Score: 152

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Amit Garg, Dr. Rahul Rishi (PhD/Dr. count: 2)

View Count (all-time): 315

Total Views (Real + Logic): 5908

Total Downloads (simulated): 350

Publish Date: 2012 05, Tue

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Total Views: 5.9K

Total Downloads: 350

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