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Axioms 2016, 5(3), 22; doi:10.3390/axioms5030022

A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria

Laboratorio de Investigación Lab[e]saM, Departamento de Matemática y Estadística, Universidad de Playa Ancha, Valparaíso 2340000, Chile
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Academic Editors: Humberto Bustince and Javier Fernandez
Received: 23 June 2016 / Revised: 11 August 2016 / Accepted: 25 August 2016 / Published: 31 August 2016
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Abstract

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. View Full-Text
Keywords: LR-type fuzzy numbers; matrices; ranking fuzzy numbers LR-type fuzzy numbers; matrices; ranking fuzzy numbers
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MDPI and ACS Style

González Campos, J.A.; Manríquez Peñafiel, R.A. A Method for Ordering of LR-Type Fuzzy Numbers: An Important Decision Criteria. Axioms 2016, 5, 22.

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