A Fast and Efficient Method for Hypothesis Assessment Using Fuzzy Constraints *

Autor:	D. Szegő, S. Baranyi, K. Tilly
Rok vydání:	2000
Předmět:	Process (engineering) business.industry ComputerApplications_COMPUTERSINOTHERSYSTEMS Constraint satisfaction Machine learning computer.software_genre Fault (power engineering) Fuzzy logic Fuzzy constraint Assessment methods Data mining Artificial intelligence business computer Mathematics
Zdroj:	IFAC Proceedings Volumes. 33:675-680
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)37438-4
Popis:	The main purpose of hypothesis assessment is to define the order of hypothesis evaluation inside an automated diagnostic process. If a reasonable ordering of symptoms can be established, the hypothesis evaluation step can start with checking the most plausible faults, so fault causes may be found even by the first evaluation tests. This way hypothesis assessment can determine the efficiency of the whole diagnostic process. Our hypothesis assessment method is based upon structural and behavioral system models implemented in the form of fuzzy constraint networks. The article also presents details about a case study application for evaluating the approach, where a sugar evaporation technology has been modeled.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f4198a6c77d648cc00df5e7fa882bb9c https://doi.org/10.1016/s1474-6670(17)37438-4 Zobrazit plný text záznamu