Economic functions in an uncertain environment

Autores
Lazzari, Luisa L.; Chiodi, Jorge A.; Moulia, Patricia I.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Lazzari, Luisa L. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.
Fil: Chiodi, Jorge A. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Económicas; Argentina.
Fil: Moulia, Patricia I. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.
The world is going through one of the deepest economic crises in recent times. The current and future scenarios are riddled with uncertainty that is not always taken into account in the analysis of the different economic functions of interest for the development of the business, and the reality is presented by static and almost perfect models of market behavior. The fuzzy sets theory allows to build suitable models from uncertain realities that present vagueness intrinsically. The use of fuzzy numbers makes possible to consider the aspects of an imprecise environment. Extreme and more possible situations of the different variables involved can be determined through the opinion of experts. In this paper we present the fuzzy function concept applied to a case study involving economic functions, where the uncertainty is incorporated through the use of triangular fuzzy numbers.
Materia
Fuzzy number
Fuzzy function
Economic functions
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Repositorio
Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
Institución
Universidad Nacional de Misiones
OAI Identificador
oai:rid.unam.edu.ar:20.500.12219/4670

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spelling Economic functions in an uncertain environmentLazzari, Luisa L.Chiodi, Jorge A.Moulia, Patricia I.Fuzzy numberFuzzy functionEconomic functionsFil: Lazzari, Luisa L. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.Fil: Chiodi, Jorge A. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Económicas; Argentina.Fil: Moulia, Patricia I. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.The world is going through one of the deepest economic crises in recent times. The current and future scenarios are riddled with uncertainty that is not always taken into account in the analysis of the different economic functions of interest for the development of the business, and the reality is presented by static and almost perfect models of market behavior. The fuzzy sets theory allows to build suitable models from uncertain realities that present vagueness intrinsically. The use of fuzzy numbers makes possible to consider the aspects of an imprecise environment. Extreme and more possible situations of the different variables involved can be determined through the opinion of experts. In this paper we present the fuzzy function concept applied to a case study involving economic functions, where the uncertainty is incorporated through the use of triangular fuzzy numbers.Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración2015-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf230 KBhttps://hdl.handle.net/20.500.12219/4670enginfo:eu-repo/semantics/altIdentifier/urn/https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/article/view/536/398info:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)instname:Universidad Nacional de Misiones2025-09-29T15:02:14Zoai:rid.unam.edu.ar:20.500.12219/4670instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-09-29 15:02:14.883Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv Economic functions in an uncertain environment
title Economic functions in an uncertain environment
spellingShingle Economic functions in an uncertain environment
Lazzari, Luisa L.
Fuzzy number
Fuzzy function
Economic functions
title_short Economic functions in an uncertain environment
title_full Economic functions in an uncertain environment
title_fullStr Economic functions in an uncertain environment
title_full_unstemmed Economic functions in an uncertain environment
title_sort Economic functions in an uncertain environment
dc.creator.none.fl_str_mv Lazzari, Luisa L.
Chiodi, Jorge A.
Moulia, Patricia I.
author Lazzari, Luisa L.
author_facet Lazzari, Luisa L.
Chiodi, Jorge A.
Moulia, Patricia I.
author_role author
author2 Chiodi, Jorge A.
Moulia, Patricia I.
author2_role author
author
dc.subject.none.fl_str_mv Fuzzy number
Fuzzy function
Economic functions
topic Fuzzy number
Fuzzy function
Economic functions
dc.description.none.fl_txt_mv Fil: Lazzari, Luisa L. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.
Fil: Chiodi, Jorge A. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Económicas; Argentina.
Fil: Moulia, Patricia I. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.
The world is going through one of the deepest economic crises in recent times. The current and future scenarios are riddled with uncertainty that is not always taken into account in the analysis of the different economic functions of interest for the development of the business, and the reality is presented by static and almost perfect models of market behavior. The fuzzy sets theory allows to build suitable models from uncertain realities that present vagueness intrinsically. The use of fuzzy numbers makes possible to consider the aspects of an imprecise environment. Extreme and more possible situations of the different variables involved can be determined through the opinion of experts. In this paper we present the fuzzy function concept applied to a case study involving economic functions, where the uncertainty is incorporated through the use of triangular fuzzy numbers.
description Fil: Lazzari, Luisa L. Universidad de Buenos Aires. Facultad de Ciencias Económicas; Argentina.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-19
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12219/4670
url https://hdl.handle.net/20.500.12219/4670
dc.language.none.fl_str_mv eng
language eng
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Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
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230 KB
dc.publisher.none.fl_str_mv Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
publisher.none.fl_str_mv Universidad Nacional de Misiones. Facultad de Ciencias Económicas. Programa de Posgrado en Administración
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