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The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory
Firstly in this paper we introduce a new concept of the 2nd power of a fuzzy number. It is exponent to production (EP) method that provides an analytical and approximate solution for fully fuzzy quadratic equation (FFQE) : [Formula: see text] , where [Formula: see text]. To use the mentioned EP meth...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070452/ https://www.ncbi.nlm.nih.gov/pubmed/25009826 http://dx.doi.org/10.1155/2014/156203 |
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author | Allahviranloo, T. Gerami Moazam, L. |
author_facet | Allahviranloo, T. Gerami Moazam, L. |
author_sort | Allahviranloo, T. |
collection | PubMed |
description | Firstly in this paper we introduce a new concept of the 2nd power of a fuzzy number. It is exponent to production (EP) method that provides an analytical and approximate solution for fully fuzzy quadratic equation (FFQE) : [Formula: see text] , where [Formula: see text]. To use the mentioned EP method, at first the 1-cut solution of FFQE as a real root is obtained and then unknown manipulated unsymmetrical spreads are allocated to the core point. To this purpose we find λ and μ as optimum values which construct the best spreads. Finally to illustrate easy application and rich behavior of EP method, several examples are given. |
format | Online Article Text |
id | pubmed-4070452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40704522014-07-09 The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory Allahviranloo, T. Gerami Moazam, L. ScientificWorldJournal Research Article Firstly in this paper we introduce a new concept of the 2nd power of a fuzzy number. It is exponent to production (EP) method that provides an analytical and approximate solution for fully fuzzy quadratic equation (FFQE) : [Formula: see text] , where [Formula: see text]. To use the mentioned EP method, at first the 1-cut solution of FFQE as a real root is obtained and then unknown manipulated unsymmetrical spreads are allocated to the core point. To this purpose we find λ and μ as optimum values which construct the best spreads. Finally to illustrate easy application and rich behavior of EP method, several examples are given. Hindawi Publishing Corporation 2014 2014-06-09 /pmc/articles/PMC4070452/ /pubmed/25009826 http://dx.doi.org/10.1155/2014/156203 Text en Copyright © 2014 T. Allahviranloo and L. Gerami Moazam. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Allahviranloo, T. Gerami Moazam, L. The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title | The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title_full | The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title_fullStr | The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title_full_unstemmed | The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title_short | The Solution of Fully Fuzzy Quadratic Equation Based on Optimization Theory |
title_sort | solution of fully fuzzy quadratic equation based on optimization theory |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070452/ https://www.ncbi.nlm.nih.gov/pubmed/25009826 http://dx.doi.org/10.1155/2014/156203 |
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