摘要
The paper deals with the applications of probabilistic sets in system theory, especially in system identification and the design of fuzzy logic controllers. Fuzzy systems described by means of fuzzy relational equations and Λ-fuzzy systems are discussed. The identification procedure is based on some ideas of clustering techniques and probabilistic sets. Numerical examples using fuzzy and nonfuzzy data are used to illustrate the theory.
源语言 | 英语 |
---|---|
页(从-至) | 21-43 |
页数 | 23 |
期刊 | Information Sciences |
卷 | 28 |
期 | 1 |
DOI | |
出版状态 | 已出版 - 10月 1982 |
已对外发布 | 是 |
指纹
探究 'Fuzzy system identification via probabilistic sets' 的科研主题。它们共同构成独一无二的指纹。引用此
Hirota, K., & Pedrycz, W. (1982). Fuzzy system identification via probabilistic sets. Information Sciences, 28(1), 21-43. https://doi.org/10.1016/0020-0255(82)90030-5