A new method for fuzzy query processing for document retrieval based on GFNQMA operators

Author

Chen, Shi-Jay ; Chu, Hung-Chin

Author_Institution

Dept. of Inf. Manage., Nat. United Univ., Miao Li, Taiwan

Volume

2

fYear

2010

fDate

1-3 Aug. 2010

Abstract

In the quadratic-mean averaging (QMA) operators have been proposed to overcome the drawbacks of the T-operators and the existing averaging operators (i.e., P-Norm operators, Infinite-One operators, Waller-Kraft operators, GMA operators and WPMA operators) to deal with fuzzy information retrieval of the AND and OR operations. However, the QMA operators can not deal with queries represented by generalized fuzzy numbers and interval-valued fuzzy numbers. In this research, we present generalized fuzzy-number quadratic-mean averaging (GFNQMA) operators to deal with queries based on generalized fuzzy numbers and interval-valued fuzzy numbers.

Keywords

document handling; fuzzy set theory; query processing; GFNQMA operators; WPMA operators; Waller-Kraft operators; document retrieval; fuzzy numbers; fuzzy query processing; generalized fuzzy-number quadratic-mean averaging; Bioinformatics; Decision making; Fuzzy sets; Information retrieval; Pragmatics; Query processing; Risk analysis; Fuzzy queries; GFNQMA operators; Generalized fuzzy numbers; Information retrieval; Interval-valued fuzzy numbers;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Information Engineering (ICEIE), 2010 International Conference On

Conference_Location

Kyoto

Print_ISBN

978-1-4244-7679-4

Electronic_ISBN

978-1-4244-7681-7

Type

conf

DOI

10.1109/ICEIE.2010.5559799

Filename

5559799