Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Name : 35th Fuzzy System Symposium
Number : 35
Location : [in Japanese]
Date : August 29, 2019 - August 31, 2019
An interval-type regression model illustrates the possibilities of an analyzed system according to its intervals that include samples. However, when the vagueness of an analyzed system is large, an obtained regression is distorted. In this case, an analyzed system may be understood from areas where sample density is high. Therefore, the author has built an interval-type regression that illustrates the principal characters of an analyzed system. In addition, the model was confirmed its usefulness using a numerical example. This paper discusses about the proposed model.
