Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries

Miroslav Hudec, Frantisek Sudzina

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

10 Citations (Scopus)

Abstract

Flexible query conditions could use linguistic terms described by fuzzy sets. The question is how to properly construct fuzzy sets for each linguistic term and apply an adequate aggregation function. For construction of fuzzy sets, the lowest value, the highest value of attribute and the distribution of data inside its domain are used. The logarithmic transformation of domains appears to be suitable. This way leads to a balanced distribution of tuples over fuzzy sets. In addition, users’ opinions about linguistic terms as well as current content in database are merged. The second investigated issue is selection of an adequate aggregation operator. Usual t-norm functions as well as compensatory γ – operator have been examined. Finally, the interface for managing these issues has been proposed. A user can obtain an overview about stored data before running a query; that may reduce empty or overabundant answers.
Original languageEnglish
Title of host publication14th International Conference on Enterprise Information Systems (ICEIS 2012)
Number of pages6
Place of PublicationWroclav, Poland
Publication date2012
Pages253-258
ISBN (Print)978-989-8565-10-5
Publication statusPublished - 2012
Externally publishedYes
EventProceedings of the 14th International Conference on Enterprise Information Systems - Wroclaw, Poland
Duration: 28 Jun 20121 Jul 2012
Conference number: 14

Conference

ConferenceProceedings of the 14th International Conference on Enterprise Information Systems
Number14
Country/TerritoryPoland
CityWroclaw
Period28/06/201201/07/2012

Fingerprint

Dive into the research topics of 'Construction of Fuzzy Sets and Applying Aggregation Operators for Fuzzy Queries'. Together they form a unique fingerprint.

Cite this