A NEW APPROACH TO LEARNING LINGUISTIC CONTROL RULES

Autor:	J. F. BALDWIN, J. LAWRY
Rok vydání:	2000
Předmět:	Artificial Intelligence Control and Systems Engineering Software Information Systems
Zdroj:	International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. :21-43
ISSN:	1793-6411 0218-4885
DOI:	10.1142/s0218488500000046
Popis:	The mass assignment ID3 (MA-ID3) algorithm for generating linguistic decision trees is introduced together with the mass assignment semantics for linguistic variables. The potential of this algorithm for learning control rules is illustrated by means of the Van de Pol system. A data set of control paths is generated using an existing on-line controller. This is then used to generate a set of quantified linguistic control rules. The effectiveness and robustness of this rule-base is then demonstrated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2a0fb44d4a76311fc5d601f3d92aefdb https://doi.org/10.1142/s0218488500000046 Zobrazit plný text záznamu