Title :
Fuzzy rule automation from data using mass assignment theory
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
Abstract :
The Fril language contains a data browser which can automatically determine the appropriate fuzzy rules from a database to answer a query. We consider in this paper rules of the form-head: most of weighted features in body satisfied where the features in the body of the rule take the form; feature is fi where fi is a fuzzy set defined on the space for feature i. We show how to obtain both the fuzzy sets and the weights automatically from the database
Keywords :
fuzzy logic; fuzzy set theory; high level languages; probability; query processing; Fril language; database; fuzzy rule automation; fuzzy set theory; mass assignment theory; query answering; Automation; Data engineering; Engineering management; Equations; Fuzzy control; Fuzzy set theory; Fuzzy sets; Mathematics; Probability distribution; Spatial databases;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409936