A technique of fuzzy C-Mean in multiple linear regression model toward paddy yield
. In this paper, we propose a hybrid model which is a combination of multiple linear regression model and fuzzy c-means method. This research involved a relationship between 20 variates of the top soil that are analyzed prior to planting of paddy yields at standard fertilizer rates. Data used...
| Main Authors: | Wahab, Nur Syazwan, Rusiman, Mohd Saifullah, Mohamad, Mahathir, Azmi, Nur Amira, Che Him, Norziha, Kamardan, M. Ghazali, Ali, Maselan |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7006/ http://eprints.uthm.edu.my/7006/1/P9889_718ddb01ea16506f15e4ff1dc78fd2b7.pdf |
Similar Items
A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2018)
by: Ramly, Nurfarawahida, et al.
Published: (2018)
Prediction in a hybrid of fuzzy linear regression with symmetric parameter model and fuzzy c-means method using simulation data
by: Shafi, Muhammad Ammar, et al.
Published: (2018)
by: Shafi, Muhammad Ammar, et al.
Published: (2018)
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
by: Shafi, Muhammad Ammar, et al.
Published: (2019)
by: Shafi, Muhammad Ammar, et al.
Published: (2019)
An application of robust method in multiple linear regression model toward credit card debt
by: Azmi, Nur Amira, et al.
Published: (2018)
by: Azmi, Nur Amira, et al.
Published: (2018)
Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)
by: Ramly, Nurfarawahida
Published: (2018)
ADM for solving linear second-order fredholm integro- differential equation
by: Karim, Mohd F., et al.
Published: (2018)
by: Karim, Mohd F., et al.
Published: (2018)
ADM for solving linear second-order fredholm integro- differential equation
by: Karim, Mohd F., et al.
Published: (2018)
by: Karim, Mohd F., et al.
Published: (2018)
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
Case study: students’ symbolic manipulation in calculus among UTHM students
by: Ali, Maselan, et al.
Published: (2018)
by: Ali, Maselan, et al.
Published: (2018)
Spatio-temporal modelling of dengue fever incidence in
Malaysia
by: Che-Him, Norziha, et al.
Published: (2017)
by: Che-Him, Norziha, et al.
Published: (2017)
Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees
by: Hamid, Nur Haziqah Mohd
Published: (2017)
by: Hamid, Nur Haziqah Mohd
Published: (2017)
Multiple outliers detection procedures in linear regression
by: Adnan, Robiah, et al.
Published: (2003)
by: Adnan, Robiah, et al.
Published: (2003)
JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2017)
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2017)
The use of concrete material in teaching and learning Mathematics
by: Rusiman, Mohd Saifullah, et al.
Published: (2017)
by: Rusiman, Mohd Saifullah, et al.
Published: (2017)
Binary logistic regression on cafeteria satisfaction services
by: Che Him, Norziha, et al.
Published: (2020)
by: Che Him, Norziha, et al.
Published: (2020)
Bootstrap-based model selection in subset polynomial regression
by: Suparman, S., et al.
Published: (2018)
by: Suparman, S., et al.
Published: (2018)
Analytic hierarchy process in purchasing import and local car models among first time car buyers in Malaysia
by: Mohamad Arisa, Nur Syazwani Aqilah, et al.
Published: (2021)
by: Mohamad Arisa, Nur Syazwani Aqilah, et al.
Published: (2021)
Distributionally robust L1-estimation in multiple linear regression
by: Gong, Z., et al.
Published: (2018)
by: Gong, Z., et al.
Published: (2018)
Cluster-Based Estimators For
Multiple And Multivariate Linear
Regression Models
by: Alih, Ekele
Published: (2015)
by: Alih, Ekele
Published: (2015)
Determinants of gold price: using simple and multiple linear regression
by: Choong, Pik San, et al.
Published: (2012)
by: Choong, Pik San, et al.
Published: (2012)
Detection of multiple outliners in linear regression using nonparametric methods
by: Adnan, Robiah
Published: (2004)
by: Adnan, Robiah
Published: (2004)
Forecasting gold prices using multiple linear regression method
by: Ismail, Zuhaimy, et al.
Published: (2009)
by: Ismail, Zuhaimy, et al.
Published: (2009)
Comparison between ANN and multiple linear regression models for prediction of warranty cost
by: Mohd Faaizie, Darmawan, et al.
Published: (2018)
by: Mohd Faaizie, Darmawan, et al.
Published: (2018)
Comparison between ANN and multiple linear regression models for prediction of warranty cost
by: Darmawan, Mohd Faaizie, et al.
Published: (2018)
by: Darmawan, Mohd Faaizie, et al.
Published: (2018)
Applied mathematical optimization technique on menu scheduling for boarding school student using delete-reshuffle-reoptimize algorithm
by: Sufahani, Suliadi, et al.
Published: (2017)
by: Sufahani, Suliadi, et al.
Published: (2017)
Student evaluation towards educator performance for Technical College in Malaysia
by: Yusof, Yusliandy, et al.
Published: (2021)
by: Yusof, Yusliandy, et al.
Published: (2021)
Multiple linear regression modelling of hot water extraction of soursop juice
by: Quek, Meei Chien, et al.
Published: (2012)
by: Quek, Meei Chien, et al.
Published: (2012)
Identifying multiple outliers in linear regression :
Robust fit and clustering approach
by: Adnan, Robiah, et al.
Published: (2001)
by: Adnan, Robiah, et al.
Published: (2001)
Automatic clustering of generalized regression neural network by similarity index based fuzzy c-means clustering
by: Husain, Hafizah, et al.
Published: (2004)
by: Husain, Hafizah, et al.
Published: (2004)
Genetic Algorithm based Fuzzy Multiple Regression for the Nocturnal Hypoglycaemia Detection
by: Ling, S., et al.
Published: (2010)
by: Ling, S., et al.
Published: (2010)
JMASM41: An alternative method for multiple linear model regression modeling, a technical
combining of robust, bootstrap and fuzzy approach (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
Fast improvised influential distance for the identification of influential observations in multiple linear regression
by: Habshah Midi,, et al.
Published: (2021)
by: Habshah Midi,, et al.
Published: (2021)
Performance comparison of haze prediction using chaos theory and multiple linear regression
by: Hazlina Darman,, et al.
Published: (2024)
by: Hazlina Darman,, et al.
Published: (2024)
Similar Items
-
A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2018) -
Prediction in a hybrid of fuzzy linear regression with symmetric parameter model and fuzzy c-means method using simulation data
by: Shafi, Muhammad Ammar, et al.
Published: (2018) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023) -
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)