Application of Parallelism SQL in Fuzzy Relational Databases

Tripathy, Hrudaya Ku.; Tripathy, B. K.; Das, P. K.; Khadanga, S.P.

doi:10.1109/iccsit.2008.169

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This kind of facility improved the cooperative nature of databases and enhanced the user friendliness of the database system. There are a number of very good surveys of fuzzy relational database approach [12], [13], [14]; we will not go into details here but just point to some of its essential contributions.…”

Section: Introductionmentioning

confidence: 99%

Cluster Detection Analysis Using Fuzzy RelationalDatabase

Dey¹,

Chakraborty²,

Sarkar³

2013

IJIEE

View full text Add to dashboard Cite

In order to handle imprecise and ambiguous information, the application of fuzzy set theory for the design of database, information storage and retrieval systems has been gaining popularity recently. This paper gives emphasis on the basic characteristics of fuzzy relational databases, their properties, along with the data clustering in database systems. Indian premier league dataset has been considered for the detection of clusters. Several clustering parameters like centroid, radius and Manhattan distance measure have been applied. The definition of clusters as well as the membership function has been implemented using PL/SQL. The results obtained from Indian premier league batting statistics dataset detect two clusters, namely Cluster 1 and Cluster 2. Finally, this article proposed a fuzzy database organization and clustering of records which provides efficient and accurate fuzzy retrieval.

show abstract

Section: Introductionmentioning

confidence: 99%

Cluster Detection Analysis Using Fuzzy RelationalDatabase

Dey¹,

Chakraborty²,

Sarkar³

2013

IJIEE

View full text Add to dashboard Cite

show abstract

Mobile database modeling using Fuzzy databases

Rao¹,

Naidu

Seetharam

2011

2011 International Conference on Emerging Trends in Electrical and Computer Technology

View full text Add to dashboard Cite

Handling Fuzzy SQL on Crisp databases using Lex-YACC

Mehta¹,

Shah²

2010

IJCA

View full text Add to dashboard Cite

Conventional querying language presumes precision and certainty in user queries. But in factual situations the queries may be imprecise and may be desired to result in uncertain outcome. Introducing fuzziness in querying permits the realistic querying on the crisp data. In this paper, we propose the architecture for fuzzy querying along with an experimental implementation of the same. The implementation is using LEX and YACC that facilitate the lexical analysis of fuzzy terms and parsing the fuzzy query respectively. Fuzzy query is interpreted by the parser and the consequent semantic actions are carried out on MySQL database. General TermsFuzzy SQL

show abstract

Application of Parallelism SQL in Fuzzy Relational Databases

Cited by 3 publications

References 5 publications

Cluster Detection Analysis Using Fuzzy RelationalDatabase

Cluster Detection Analysis Using Fuzzy RelationalDatabase

Mobile database modeling using Fuzzy databases

Handling Fuzzy SQL on Crisp databases using Lex-YACC

Contact Info

Product

Resources

About