Title :
A new qualitative approach to system analysis
Author :
Zhu, Jianjun ; Tan, Shaohua
Author_Institution :
Dept. of Intell. Sci., Peking Univ., Beijing, China
Abstract :
It has been an important research topic to analyze systems with incomplete rule-based models in field of artificial intelligence. To solve the problem of analyzing incomplete rule based model whose consequent results are restricted in a finite set, this paper develops a new system analysis approach based on ternary qualitative analysis theory and provides its algorithm. As illustrated by an example in this paper, the new approach can be used to solve effectively and simply such problem.
Keywords :
artificial intelligence; knowledge based systems; systems analysis; artificial intelligence; incomplete rule-based model; system analysis; ternary qualitative analysis theory; Accuracy; Analytical models; Cognition; Color; Finite element methods; Fuzzy sets; Pragmatics; fuzzy set; qualitative approach; system analysis; ternary qualitative analysis;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-919-5
DOI :
10.1109/INISTA.2011.5946115
