A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria
Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them are difficult to apply and present some probl...
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doaj-da967540671c4273a7e54eb1f7e37a072020-11-25T01:41:17ZengMDPI AGAxioms2075-16802016-08-01532210.3390/axioms5030022axioms5030022A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision CriteriaJosé A. González Campos0Ronald A. Manríquez Peñafiel1Laboratorio de Investigación Lab[e]saM, Departamento de Matemática y Estadística, Universidad de Playa Ancha, Valparaíso 2340000, ChileLaboratorio de Investigación Lab[e]saM, Departamento de Matemática y Estadística, Universidad de Playa Ancha, Valparaíso 2340000, ChileMethods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them are difficult to apply and present some problems with ranking computation. For that reason, this work proposes an ordering method for fuzzy numbers based on a simple application of a polynomial function. We study some properties of our new method, comparing our results with those generated by other methods previously discussed in literature.http://www.mdpi.com/2075-1680/5/3/22LR-type fuzzy numbersmatricesranking fuzzy numbers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
José A. González Campos Ronald A. Manríquez Peñafiel |
spellingShingle |
José A. González Campos Ronald A. Manríquez Peñafiel A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria Axioms LR-type fuzzy numbers matrices ranking fuzzy numbers |
author_facet |
José A. González Campos Ronald A. Manríquez Peñafiel |
author_sort |
José A. González Campos |
title |
A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria |
title_short |
A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria |
title_full |
A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria |
title_fullStr |
A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria |
title_full_unstemmed |
A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria |
title_sort |
method for ordering of lr-type fuzzy numbers: an important decision criteria |
publisher |
MDPI AG |
series |
Axioms |
issn |
2075-1680 |
publishDate |
2016-08-01 |
description |
Methods for ordering fuzzy numbers play an important role as decision criteria, with applications in areas such as optimization and data mining, among others. Although there are several proposals for ordering methods in the fuzzy literature, many of them are difficult to apply and present some problems with ranking computation. For that reason, this work proposes an ordering method for fuzzy numbers based on a simple application of a polynomial function. We study some properties of our new method, comparing our results with those generated by other methods previously discussed in literature. |
topic |
LR-type fuzzy numbers matrices ranking fuzzy numbers |
url |
http://www.mdpi.com/2075-1680/5/3/22 |
work_keys_str_mv |
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1725041757736927232 |