Integrating type-2 fuzzy logic system with fuzzy C-means clustering for weather prediction
Today’s world concerns more about the impact of weather in the development of society. An accurate weather prediction system can act in as a vital role for making crucial decision on the life and property issues. In this research, the temperature attributes of weather is considered. Accurate weather...
Saved in:
Main Author: | Soozaei, Ahmad Shahi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/27714/1/FSKTM%202011%2030R.pdf http://psasir.upm.edu.my/id/eprint/27714/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An effective fuzzy C-mean and type-2 fuzzy logic for weather forecasting.
by: Shahi, Ahmad, et al.
Published: (2009) -
A hybrid system using Possibilistic fuzzy C-mean and interval type-2 Fuzzy logic for forecasting: A review
Published: (2012) -
Fuzzy C-Means and two clusters' centers method for generating interval type-2 membership function
by: Hasan, M.H., et al.
Published: (2016) -
Fuzzy C-means clustering on text dependent speaker verification system
by: Ibrahim, Mohd. Zamri, et al.
Published: (2007) -
A Comparative Study Of Fuzzy C-Means And K-Means Clustering Techniques
by: Sharifah Sakinah, Syed Ahmad
Published: (2014)