Abstract
Using fuzzy measures and fuzzy integrals, the paper presents a mathematical model of learning which is able to learn through fuzzy information. The characteristics of the model are studied theoretically and in numerical examples, where the model is compared with an ordinary Bayesian learning model. The problem of seeking an extremum of multimodel objective function is given as an example.
Citation
SUGENO, M. and TERANO, T. (1977), "A MODEL OF LEARNING BASED ON FUZZY INFORMATION", Kybernetes, Vol. 6 No. 3, pp. 157-166. https://doi.org/10.1108/eb005448
Publisher
:MCB UP Ltd
Copyright © 1977, MCB UP Limited