Matching strengths of answers in fuzzy relational databases

Author

Chiang, Ding-An ; Lin, Nancy P. ; Shis, Chien-Chou

Author_Institution

Dept. of Inf. Eng., Tankang Univ., Taipei, Taiwan

Volume

28

Issue

3

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

476

Lastpage

481

Abstract

Imprecise information is represented by fuzzy disjunctive information, and an extended fuzzy relational model is used to accommodate such information. In the presence of imprecise information, answers to a query can be categorized into two kinds of answers: sure answers and possible answers. To find more likely answers to a given query, the authors develop a method to measure the matching strength of each tuple as an answer to the query. The quality of an answer is higher in the case where less extra information is required and the more sure information is provided

Keywords

database theory; fuzzy systems; query processing; relational databases; answer quality; answer strength matching; extended fuzzy relational model; fuzzy disjunctive information; fuzzy relational databases; imprecise information; possible answers; query; sure answers; tuple; Database systems; Engineering management; Entropy; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Marketing and sales; Measurement uncertainty; Query processing; Relational databases;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

Publisher

ieee

ISSN

1094-6977

Type

jour

DOI

10.1109/5326.704592

Filename

704592