Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry

Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry

Conventional model setting of production planning is developed with numerical crisp values. Additionally coefficient values must be determined before the model is set. It is however troublesome and complex for decision maker to provide rigid values and determining the coefficient values for th...

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Main Author: Mohd Rahman, Hamijah
Format: Thesis
Language:English
English
Published: 2014
Subjects:
QA Mathematics
QA299.6-433 Analysis
Online Access:http://eprints.uthm.edu.my/1475/1/24p%20HAMIJAH%20MOHD%20RAHMAN.pdf
http://eprints.uthm.edu.my/1475/2/HAMIJAH%20MOHD%20RAHMAN%20WATERMARK.pdf
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spelling my-uthm-ep.14752021-10-03T07:28:21Z Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry 2014-04 Mohd Rahman, Hamijah QA Mathematics QA299.6-433 Analysis Conventional model setting of production planning is developed with numerical crisp values. Additionally coefficient values must be determined before the model is set. It is however troublesome and complex for decision maker to provide rigid values and determining the coefficient values for the model. Building the production planning model with precise values sometimes generates improper solution. Hence, this study proposes a fuzzy random regression method to estimate the coefficient values for which statistical data contains simultaneous fuzzy random information. A numerical example illustrates the proposed solution approach whereby coefficient values are successfully deduce from the statistical data and the fuzziness and randomness were treated based on the property of fuzzy random regression. The implementation of the fuzzy random regression method shows the significant capabilities to estimate the coefficient value to further improve the model setting of production planning problem which retain the simultaneous uncertainties. 2014-04 Thesis http://eprints.uthm.edu.my/1475/ http://eprints.uthm.edu.my/1475/1/24p%20HAMIJAH%20MOHD%20RAHMAN.pdf text en public http://eprints.uthm.edu.my/1475/2/HAMIJAH%20MOHD%20RAHMAN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Sains Komputer dan Teknologi Maklumat
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
topic QA Mathematics
QA299.6-433 Analysis
spellingShingle QA Mathematics
QA299.6-433 Analysis
Mohd Rahman, Hamijah
Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
description Conventional model setting of production planning is developed with numerical crisp values. Additionally coefficient values must be determined before the model is set. It is however troublesome and complex for decision maker to provide rigid values and determining the coefficient values for the model. Building the production planning model with precise values sometimes generates improper solution. Hence, this study proposes a fuzzy random regression method to estimate the coefficient values for which statistical data contains simultaneous fuzzy random information. A numerical example illustrates the proposed solution approach whereby coefficient values are successfully deduce from the statistical data and the fuzziness and randomness were treated based on the property of fuzzy random regression. The implementation of the fuzzy random regression method shows the significant capabilities to estimate the coefficient value to further improve the model setting of production planning problem which retain the simultaneous uncertainties.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Mohd Rahman, Hamijah
author_facet Mohd Rahman, Hamijah
author_sort Mohd Rahman, Hamijah
title Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
title_short Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
title_full Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
title_fullStr Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
title_full_unstemmed Fuzzy random regression to improve coefficient estimation for Malaysian Agricultural Industry
title_sort fuzzy random regression to improve coefficient estimation for malaysian agricultural industry
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Sains Komputer dan Teknologi Maklumat
publishDate 2014
url http://eprints.uthm.edu.my/1475/1/24p%20HAMIJAH%20MOHD%20RAHMAN.pdf
http://eprints.uthm.edu.my/1475/2/HAMIJAH%20MOHD%20RAHMAN%20WATERMARK.pdf
_version_ 1747830798360248320

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