Date of Award
1996
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Thesis/Dissertation Advisor [Chair]
Huang, Ming Z.
Thesis/Dissertation Co-Chair
Zilouchian, Ali
Additional Committee Member 1
College of Engineering and Computer Science
Abstract
A methodology is presented to construct an approximate fuzzy-mapping algorithm that maps multiple inputs to single outputs given a finite training set of argument vectors functionally linked to corresponding scalar outputs. Its scope is limited to problems where the features are known in advance, or equivalently, where the expected functional representation is known to depend exclusively on the known selected variables. Programming and simulations to implement the methodology make use of Matlab Fuzzy and Neural toolboxes and a PC application of Prolog, and applications range from approximate representations of the direct kinematics of parallel manipulators to fuzzy controllers.
Extent
197 p.
Recommended Citation
Diaz-Robainas, Regino R., "Fuzzy identification of processes on finite training sets with known features" (1996). Electronic Theses and Dissertations 1990 - 1999. 932.
https://digitalcommons.fau.edu/etd_general_4/932
Identifier
FADT12487
Comments
College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (Ph.D.)--Florida Atlantic University, 1996.|College of Engineering and Computer Science