Title :
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
fDate :
8/1/1998 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/5326.704592
