A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location

The main approaches which are applied to select the logistic center are the methods of gravity center, analytic hierarchy process, similarity to ideal solution, fuzzy ranking, assessment, etc. Multiple Criteria Decision-Making (MCDM) combines analytical and inductive knowledge, describing a domain p...

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Main Authors: Z. Turskis, E. K. Zavadskas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2010-12-01
Series:Transport
Subjects:
Online Access:http://www.transport.vgtu.lt/en/lt/3/NR/PUB/30410
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author Z. Turskis
E. K. Zavadskas
author_facet Z. Turskis
E. K. Zavadskas
author_sort Z. Turskis
collection DOAJ
description The main approaches which are applied to select the logistic center are the methods of gravity center, analytic hierarchy process, similarity to ideal solution, fuzzy ranking, assessment, etc. Multiple Criteria Decision-Making (MCDM) combines analytical and inductive knowledge, describing a domain problem, which can be fuzzy and/or incomplete. The fuzzy MCDM (FMCDM) approach can explain the problem more appropriately. The purpose of the paper is to select the most suitable site for logistic centre among a set of alternatives, to help the stakeholders with the performance evaluation in an uncertain environment, where the subjectivity and vagueness of criteria are described by triangular fuzzy numbers. The paper presents a newly-developed ARAS–F method to solve different problems in transport, construction, economics, technology and sustainable development.
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spelling doaj.art-c1c0845b95f14b7e9d99250cb4b500da2022-12-21T20:04:44ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802010-12-01254423432A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers locationZ. TurskisE. K. ZavadskasThe main approaches which are applied to select the logistic center are the methods of gravity center, analytic hierarchy process, similarity to ideal solution, fuzzy ranking, assessment, etc. Multiple Criteria Decision-Making (MCDM) combines analytical and inductive knowledge, describing a domain problem, which can be fuzzy and/or incomplete. The fuzzy MCDM (FMCDM) approach can explain the problem more appropriately. The purpose of the paper is to select the most suitable site for logistic centre among a set of alternatives, to help the stakeholders with the performance evaluation in an uncertain environment, where the subjectivity and vagueness of criteria are described by triangular fuzzy numbers. The paper presents a newly-developed ARAS–F method to solve different problems in transport, construction, economics, technology and sustainable development.http://www.transport.vgtu.lt/en/lt/3/NR/PUB/30410fuzzymultiple criteria decision makingARAS methodARAS–F methodoperation researchlogistic centreslocation
spellingShingle Z. Turskis
E. K. Zavadskas
A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
Transport
fuzzy
multiple criteria decision making
ARAS method
ARAS–F method
operation research
logistic centres
location
title A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
title_full A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
title_fullStr A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
title_full_unstemmed A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
title_short A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location
title_sort new fuzzy additive ratio assessment method aras f case study the analysis of fuzzy multiple criteria in order to select the logistic centers location
topic fuzzy
multiple criteria decision making
ARAS method
ARAS–F method
operation research
logistic centres
location
url http://www.transport.vgtu.lt/en/lt/3/NR/PUB/30410
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