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Matching strengths of answers in fuzzy relational databases

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3 Author(s)
Ding-An Chiang ; Dept. of Inf. Eng., Tankang Univ., Taipei, Taiwan ; Lin, N.P. ; Chien-Chou Shis

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

Published in:

Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:28 ,  Issue: 3 )

Date of Publication:

Aug 1998

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