By Topic

Performance assessment of fuzzy clustering models applied to urban airborne pollution

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Aceves-Fernández, M.A. ; Fac. de Inf., Univ. Autonoma de Queretaro, Querétaro, Mexico ; Sotomayor-Olmedo, A. ; Gorrostieta-Hurtado, E. ; Pedraza-Ortega, J.C.
more authors

An application in modeling a non-lineal system between temperature, humidity and urban airborne air pollution is presented. In this contribution, the implementation of cluster estimation method as a basis of a fuzzy model identification algorithm has been developed. Fuzzy clustering allowed partitioning this complex non-linear system into many linear sub-systems. Finally, comparison of the performance between two different clustering techniques for this particular case study is presented: Fuzzy C-means Clustering and Fuzzy Subtractive Clustering.

Published in:

Electrical Communications and Computers (CONIELECOMP), 2011 21st International Conference on

Date of Conference:

Feb. 28 2011-March 2 2011