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

The fuzzy crystallization algorithm: a new approach to complex systems modeling.

C C Cheng1, W H Hsieh

  • 1Dept. of Mech. & Electro-Mechanical Eng., Nat. Sun Yat-Sen Univ., Kaohsiung.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 5, 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

Toll-like receptor signalling associated with immunomodulation of umbilical cord-derived mesenchymal stem cells in mice with systemic lupus erythematosus.

Lupus·2020
Same author

Acidic FGF promotes neurite outgrowth of cortical neurons and improves neuroprotective effect in a cerebral ischemic rat model.

Neuroscience·2015
Same author

Empirical Selection of Informative Microsatellite Markers within Co-ancestry Pig Populations Is Required for Improving the Individual Assignment Efficiency.

Asian-Australasian journal of animal sciences·2014
Same author

Studies on 4-aminopyrazolo(3,4-d)pyrimidine: action of derivatives and analogues on hela cells.

Antibiotics & chemotherapy (Northfield, Ill.)·2014
Same author

Mobility asymmetry in InGaAs/InAlAs heterostructures with InAs quantum wires.

Nanotechnology·2011
Same author

Toward an ideal animal model to trace donor cell fates after stem cell therapy: production of stably labeled multipotent mesenchymal stem cells from bone marrow of transgenic pigs harboring enhanced green fluorescence protein gene.

Journal of animal science·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

A novel fuzzy crystallization algorithm (FCA) simplifies fuzzy modeling by simultaneously identifying structure and parameters. This efficient method offers flexibility and speed for creating accurate models.

Area of Science:

  • Computational intelligence
  • Fuzzy systems engineering

Background:

  • Fuzzy modeling is crucial for complex systems but often involves complex identification processes.
  • Existing methods can be computationally intensive and less flexible.

Purpose of the Study:

  • Introduce a new, efficient algorithm for fuzzy model identification.
  • Develop a method inspired by natural crystallization processes for enhanced modeling.

Main Methods:

  • The proposed fuzzy crystallization algorithm (FCA) performs simultaneous structure and parameter identification.
  • The algorithm leverages principles analogous to material crystallization.

Main Results:

  • FCA demonstrates simplicity, flexibility, and high calculation speed.

Related Experiment Videos

  • The method facilitates the construction of models with specific accuracy more easily than other strategies.
  • Numerical examples validate the algorithm's performance.

    • Conclusions:

    • The fuzzy crystallization algorithm offers a powerful and efficient approach to fuzzy modeling.
    • FCA provides a practical alternative for developing accurate fuzzy models with reduced complexity.