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Numerical method for solving fuzzy polynomials and fuzzy differential equations

Uncertainty and vagueness occur in many real life problems. Uncertainty may exist in the experimental process, data collection and process measurement. The uncertainty information can be modelled and formulated into fuzzy funtions. Therefore fuzzy set theory is incorporated to overcome this problem

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Bibliographic Details
Main Author: Noor'ani Hj. Ahmad
Format: Thesis
Language:English
Published: Terengganu: Universiti Malaysia Terengganu 2013
Subjects:
QA 241 .N6 2012
Noor'ani Hj. Ahmad
Tesis FST 2012
Polynomials > Data processing
Online Access:http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/2446
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id my.umt.ir-2446
record_format eprints
spelling my.umt.ir-24462013-06-12T02:13:20Z Numerical method for solving fuzzy polynomials and fuzzy differential equations Noor'ani Hj. Ahmad QA 241 .N6 2012 Noor'ani Hj. Ahmad Tesis FST 2012 Polynomials -- Data processing Uncertainty and vagueness occur in many real life problems. Uncertainty may exist in the experimental process, data collection and process measurement. The uncertainty information can be modelled and formulated into fuzzy funtions. Therefore fuzzy set theory is incorporated to overcome this problem 2013-06-12T02:13:20Z 2013-06-12T02:13:20Z 2012-08 Thesis http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/2446 en application/pdf application/pdf Terengganu: Universiti Malaysia Terengganu
institution Universiti Malaysia Terengganu
building Perpustakaan Sultanah Nur Zahirah
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Terengganu
content_source UMT-IR
url_provider http://umt-ir.umt.edu.my:8080/
language English
topic QA 241 .N6 2012
Noor'ani Hj. Ahmad
Tesis FST 2012
Polynomials -- Data processing
spellingShingle QA 241 .N6 2012
Noor'ani Hj. Ahmad
Tesis FST 2012
Polynomials -- Data processing
Noor'ani Hj. Ahmad
Numerical method for solving fuzzy polynomials and fuzzy differential equations
description Uncertainty and vagueness occur in many real life problems. Uncertainty may exist in the experimental process, data collection and process measurement. The uncertainty information can be modelled and formulated into fuzzy funtions. Therefore fuzzy set theory is incorporated to overcome this problem
format Thesis
author Noor'ani Hj. Ahmad
author_facet Noor'ani Hj. Ahmad
author_sort Noor'ani Hj. Ahmad
title Numerical method for solving fuzzy polynomials and fuzzy differential equations
title_short Numerical method for solving fuzzy polynomials and fuzzy differential equations
title_full Numerical method for solving fuzzy polynomials and fuzzy differential equations
title_fullStr Numerical method for solving fuzzy polynomials and fuzzy differential equations
title_full_unstemmed Numerical method for solving fuzzy polynomials and fuzzy differential equations
title_sort numerical method for solving fuzzy polynomials and fuzzy differential equations
publisher Terengganu: Universiti Malaysia Terengganu
publishDate 2013
url http://dspace.psnz.umt.edu.my/xmlui/handle/123456789/2446
_version_ 1738395596567347200
score 13.214268

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