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
By Zenonas Turskis, Edmundas Kazimieras Zavadskas. 2010
220 citations recorded by the source corpus.
Abstract 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.
Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6ba3e8b704ec1e1b8b992ca8c66a0ee4356ff4e0
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In Control and Systems Engineering
- Edmundas Kazimieras Zavadskas
- Zenonas Turskis
- Abbas Mardani
- Norhayati Zakuan
- Somayeh Soheilirad
- M. Saman
- Mehrbakhsh Nilashi
- Othman bin Ibrahim
In Industrial and Manufacturing Engineering
- Alvydas Balezentis
- Tomas Balezentis
- Willem Karel M. Brauers
- Edmundas Kazimieras Zavadskas
- Abbas Mardani
- Zenonas Turskis
- Somayeh Soheilirad
- Norhayati Zakuan
In Management Science and Operations Research
- Edmundas Kazimieras Zavadskas
- Zenonas Turskis
- Abbas Mardani
- Tomas Balezentis
- Alvydas Balezentis
- Norhayati Zakuan
- Willem Karel M. Brauers
- Somayeh Soheilirad
Citations in the corpus
- Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 (2015, unknown): “…VIKOR (Opricovic & Tzeng, 2004), COPRAS (E. Zavadskas, Kaklauskas, & Sarka, 1994), MOORA (Brauers & Zavadskas, 2006), COPRAS-G, ARAS-F, ARAS-G and MULTIMOORA (Brauers & Zavadskas, 2010; Turskis & Zavadskas, 2010b; Zavadskas & Turskis, 2008), ARAS (Turskis & Zavadskas, 2010a; Ronald R Yager, 1994a).”
- Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008-2018 (2019, background): “Location selection of a city logistics center from a sustainability perspective Fuzzy MAGDM [97] Selecting the most suitable site for a logistics center among a set of alternatives Fuzzy ARAS, AHP [98] Sustainable selection of a location for the development of a multimodal logistics center DEMATEL–M”
- Multimoora for the EU member states updated with fuzzy number theory (2011, methodology): “Zavadskas and Turskis introduced another method ARAS (2010), extended with grey and triangular fuzzy number (Turskis and Zavadskas 2010a, 2010b).”
- Multiple criteria decision making (MCDM) methods in economics: an overview (2011, methodology): “ARAS-F presented ARAS-G Turskis and Zavadskas (2010b) Authors.”
- A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, methodology): “The fuzzy and grey extension of this method referred to as ARAS-Fuzzy (ARAS-F) (Turskis and Zavadskas [134])”