Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Simplifying fuzzy rule-based models using orthogonal transformation methods.

J Yen1, L Wang

  • 1Dept. of Comput. Sci., Texas A&M Univ., College Station, TX.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 7, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The IMAP-Ultra Energetic Neutral Atom (ENA) Imager.

Space science reviews·2025
Same author

Longitudinal profiling identifies co-occurring BRCA1/2 reversions, TP53BP1, RIF1 and PAXIP1 mutations in PARP inhibitor-resistant advanced breast cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

The California Pertussis Epidemic 2010: A Review of 986 Pediatric Case Reports From San Diego County.

Journal of the Pediatric Infectious Diseases Society·2015
Same author

The Second National Ballistics Imaging Comparison (NBIC-2).

Journal of research of the National Institute of Standards and Technology·2015
Same author

Copepods' Response to Burgers' Vortex: Deconstructing Interactions of Copepods with Turbulence.

Integrative and comparative biology·2015
Same author

The National Ballistics Imaging Comparison (NBIC) project.

Forensic science international·2011
Same journal

Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
Same journal

Meta-Analysis of the First Facial Expression Recognition Challenge.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Adjustable model-based fusion method for multispectral and panchromatic images.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
Same journal

Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
See all related articles

Selecting important fuzzy rules is crucial for compact fuzzy models. This study introduces orthogonal transformation methods like orthogonal least squares (OLS) for effective fuzzy rule selection and model simplification.

Area of Science:

  • Computational Intelligence
  • Machine Learning
  • Fuzzy Systems

Background:

  • Fuzzy-rule-based modeling requires efficient selection of important rules from large rule bases.
  • Removing redundant rules can improve model compactness and generalization ability, but identifying them is challenging.

Purpose of the Study:

  • To introduce and evaluate orthogonal transformation-based methods for fuzzy rule selection.
  • To provide alternative tools for identifying and removing less important or redundant fuzzy rules.

Main Methods:

  • Orthogonal Least Squares (OLS)
  • Eigenvalue Decomposition (ED)
  • Singular Value Decomposition and QR with column pivoting (SVD-QR)
  • Total Least Squares (TLS)
  • Direct Singular Value Decomposition (D-SVD)

Related Experiment Videos

Main Results:

  • All presented methods utilize a firing strength matrix and a measure index for rule selection.
  • Performance evaluation on a nonlinear plant modeling problem demonstrates the effectiveness of these methods.

Conclusions:

  • Orthogonal transformation methods offer viable approaches for fuzzy rule selection.
  • The study provides guidelines for selecting appropriate methods based on application-specific needs.