A new classification technique based on hybrid fuzzy soft set theory and supervised fuzzy c-means
Recent advances in information technology have led to significant changes in today‟s world. The generating and collecting data have been increasing rapidly. Popular use of the World Wide Web (www) as a global information system led to a tremendous amount of information, and this can be in the...
Main Author: | Handaga, Bana |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/2198/1/24p%20BANA%20HANDAGA.pdf http://eprints.uthm.edu.my/2198/2/BANA%20HANDAGA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/2198/3/BANA%20HANDAGA%20WATERMARK.pdf |
Similar Items
-
Mammogram images classification based on fuzzy soft set
by: Anwar Lashari, Saima
Published: (2016) -
Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018) -
Efficient hybrid reduction for binary based information system in soft set theory
by: Mohd Rose, Ahmad Nazari
Published: (2016) -
Construction of fuzzy control charts by using triangular and gaussian fuzzy numbers for solder paste thickness
by: Ahmad Basri, Nur Ain Zafirah
Published: (2018) -
The conjugation degree on a set of metacyclic 3-groups
by: Zamri, Siti Norziahidayu Amzee, et al.
Published: (2020)