Paper Info
Title
Reconstruction of the Matrix of Causal Dependencies for the Fuzzy Inductive Reasoning Method
Abstract
Fuzzy Inductive Reasoning (FIR) methodology is a very powerful tool for creating a mixed qualitative-quantitative model of any dynamical system by using its input and output signals. One of the key issue of this methodology is the creation of the mask, i.e. a matrix that contains the causal dependencies among the signals of the systems for particular time steps. This paper describes the ARMS --- Automatic Reconstruction of the Mask Scheme --- methodology that gives the opportunity of creating a sub-optimal mask with very good performances without an exhaustive search in the space of all the possibilities. This methodology has been validated on a wide class of dynamical system (from LTI systems to chaotic time series) and it has been compared to other methods proposed in literature.
Year
DOI
Venue
2007
10.1007/978-3-540-73400-0_7
WILF
Keywords
Field
DocType
particular time step,exhaustive search,mask scheme,causal dependencies,dynamical system,causal dependency,sub-optimal mask,chaotic time series,fuzzy inductive reasoning,automatic reconstruction,lti system,dynamic system
Hill climbing,Brute-force search,Computer science,Matrix (mathematics),Algorithm,Input/output,Artificial intelligence,Chaotic,Machine learning,Fuzzy inductive reasoning,Dynamical system
Conference
Volume
ISSN
Citations 
4578
0302-9743
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Guido Sangiovanni132.86
Michèle Lavagna221.79