2024-03-28T18:25:15Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1600262020-12-13T09:18:55Zcom_10261_60com_10261_4col_10261_313
00925njm 22002777a 4500
dc
Torra, Vicenç
author
2002
Fuzzy rule-based systems are nowadays one of the most successful applications of fuzzy sets and fuzzy logic. Most applications use a flat set of fuzzy rules. However, in complex applications with a large set of variables, it is not appropriate to define the system with a flat set of rules because, among other problems, the number of rules increases exponentially with the number of variables. Hierarchical fuzzy systems are one of the alternatives presented in the literature to overcome this problem. In this article we review the latest results related with this type of fuzzy system. © 2002 Wiley Periodicals, Inc.
International Journal of Intelligent Systems 17: 531- 543 (2002)
http://hdl.handle.net/10261/160026
10.1002/int.10036
http://dx.doi.org/10.13039/501100006280
http://dx.doi.org/10.13039/501100000780
Learning systems
Hierarchical systems
Problem solving
Knowledge based systems
Fuzzy sets
Fuzzy control
A review of the construction of hierarchical fuzzy systems