JACIII Vol.6 No.1 pp. 33-40
doi: 10.20965/jaciii.2002.p0033


Approximate Data Querying in Fuzzy Relational Database

Rolly Intan*, and Masao Mukaidono**

*Department of Computer Science, Meiji University, Kawasaki-shi, Kanagawa-ken, Japan

**Petra Christian University, Siwalankerto, 121-131, Surabaya, Indonesia 60236

April 27, 2002
May 8, 2002
February 20, 2002
data querying, fuzzy conditional probability relation, fuzzy relational database, information retrieval

Fuzzy relational database was proposed for dealing with imprecise data or fuzzy information in a relational database. In order to provide a more realistic relation in representing similarity between two imprecise data, we need to weaken fuzzy similarity relation to be weak fuzzy similarity relation in which fuzzy conditional probability relation (FCPR, for short) is regarded as a concrete example of the weak fuzzy similarity relation. In this paper, application of approximate data querying is discussed induced by FCPR in the presence of the fuzzy relational database. Application of approximate data querying in order to provide fuzzy query relation is presented into two frameworks, namely dependent inputs and independent inputs. Finally, related to join operator, approximate join of two or more fuzzy query relations is given for the purpose of extending query system.

Cite this article as:
Rolly Intan and Masao Mukaidono, “Approximate Data Querying in Fuzzy Relational Database,” J. Adv. Comput. Intell. Intell. Inform., Vol.6, No.1, pp. 33-40, 2002.
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Last updated on Feb. 25, 2021