Title :
Design of fuzzy inference systems using regression trees
Author :
Lim, Sook ; Kim, Sung Chun
Author_Institution :
Dept. of Comput. Eng., YoSu Nat. Fisheries Univ., ChonNam, South Korea
Abstract :
In this paper, we describe a design methodology for fuzzy inference systems based on regression trees. Fuzzy associative memory banks with symmetric triangular fuzzy membership functions are constructed by using sample data statistics of regression tree partitions. We propose a new fuzzy inference method that takes the membership of the average of normalized input features in the antecedent of a production rule
Keywords :
associative processing; content-addressable storage; fuzzy neural nets; inference mechanisms; performance evaluation; statistical analysis; trees (mathematics); fuzzy associative memory; fuzzy inference systems; performance evaluation; regression trees; sample data statistics; symmetric triangular fuzzy membership functions; Aquaculture; Associative memory; Decision trees; Design engineering; Design methodology; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Production; Regression tree analysis; Statistics;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488122
