A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
Analysis by human perception could not be solved using traditional method since uncertainty within the data have to be dealt with first. Thus, fuzzy structure system is considered. The objectives of this study are to determine suitable cluster by using fuzzy c-means (FCM) method, to apply existing m...
Main Authors: | Ramly, Nurfarawahida, Rusiman, Mohd Saifullah, Che Him, Norziha, Nor, Maria Elena, Suparman, S., Ahmad Basri, Nur Ain Zafirah, Mohamad, Nazeera |
---|---|
Format: | Article |
Published: |
Science Publishing Corporation
2018
|
Subjects: |
Similar Items
-
Bootstrap-based model selection in subset polynomial regression
by: Suparman, S., et al.
Published: (2018) -
Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
by: Suparman, S., et al.
Published: (2018) -
Language of expert consensus: The indicator of student outcome according to
Ibn Miskawayh’s theory using Fuzzy Delphi Technique application
by: Othman, Mohamad Khairi, et al.
Published: (2022) -
Application FCM in modelling DIR for Selangor using negative binomial GAM
by: Mohamad, Nazeera, et al.
Published: (2018) -
Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)