Welcome Guest, you are in: Login

MUST Creative Engineering Laboratory

RSS RSS

Navigation



Technical Doc



Search the wiki
»

MUST Corp.

MUST Corp.

www.must.or.kr

 Microsoft CERTIFIED Partner Software Development, Web Development, Data Platform

 Microsoft Small Business Specialist

MCSD

Microsoft Certified IT Professional

Microsoft Certified Professional Developer

Page History: Fuzzy set approaches

Compare Page Revisions



« Older Revision - Back to Page History - Newer Revision »


Page Revision: 2010/06/12 13:32


Fuzzy set approaches

  • Fuzzy logic uses truth values between 0.0 and 1.0 to represent the degree of membership (such as using fuzzy membership graph)
  • Attribute values are converted to fuzzy values
    - e.g., income is mapped into the discrete categories {low, medium, high} with fuzzy values calculated
  • For a given new sample, more than one fuzzy value may apply
  • Each applicable rule contributes a vote for membership in the categories
  • Typically, the truth values for each predicted category are summed

MUST Creative Engineering Laboratory

ImageImage Image Image

Image Image Image Image Image Image Image

Copyright © 2010 MUST Corp. All rights reserved. must@must.or.kr
This Program is released under the GNU General Public License v2. View the GNU General Public License v2 or visit the GNU website.