Fuzzy rule interpolation matlab toolbox - FRI toolbox
Johanyák , Z.C., Tikk, D., Kovács, S. and Wong, K.W. (2006) Fuzzy rule interpolation matlab toolbox - FRI toolbox. In: IEEE International Conference on Fuzzy Systems, July 16-21 2006, Vancouver, BC. .
|PDF - Published Version |
*Subscription may be required
In most fuzzy systems, the completeness of the fuzzy rule base is required to generate meaningful output when classical fuzzy reasoning methods are applied. This means, in other words, that the fuzzy rule base has to cover all possible inputs. Regardless of the way of rule base construction, be it created by human experts or by an automated manner, often incomplete rule bases are generated. One simple solution to handle sparse fuzzy rule bases and to make infer reasonable output is the application of fuzzy rule interpolation (FRI) methods. In this paper, we present a Fuzzy Rule Interpolation Matlab Toolbox, which is freely available. With the introduction of this Matlab Toolbox, different FRI methods can be used for different real time applications, which have sparse or incomplete fuzzy rule base.
|Publication Type:||Conference Paper|
|Murdoch Affiliation:||School of Information Technology|
|Copyright:||© 2006 IEEE.|
|Notes:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Item Control Page|
Downloads per month over past year