2017
DOI: 10.24846/v26i1y201701
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An Extension of the EDAS Method Based on the Use of Interval Grey Numbers

Abstract: In order to solve a number of real decision-making problems, over time, a number of multiple criteria decisionmaking methods have been proposed. The EDAS method is one of the newly proposed methods; its computational procedure can be identified as innovative and also based on verified approaches. An extension of the EDAS method adapted for the use of grey numbers is considered in this paper.

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Cited by 131 publications
(93 citation statements)
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“…The EDAS (Evaluation Based on Distance from Average Solution) is developed by Keshavarz Ghorabaee et al [22]. The EDAS method has largely found its application, which is confirmed by various extensions [23][24][25][26][27][28][29][30][31][32][33][34][35][36]. The basic concepts of the EDAS method are the use of two distance measures, namely the Positive Distance from Average (PDA) and the Negative Distance from Average (NDA), and that the evaluation of alternatives is performed according to the higher values of the PDA and the lower values of the NDA.…”
Section: The Edas Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The EDAS (Evaluation Based on Distance from Average Solution) is developed by Keshavarz Ghorabaee et al [22]. The EDAS method has largely found its application, which is confirmed by various extensions [23][24][25][26][27][28][29][30][31][32][33][34][35][36]. The basic concepts of the EDAS method are the use of two distance measures, namely the Positive Distance from Average (PDA) and the Negative Distance from Average (NDA), and that the evaluation of alternatives is performed according to the higher values of the PDA and the lower values of the NDA.…”
Section: The Edas Methodsmentioning
confidence: 99%
“…The basic concepts of the EDAS method are the use of two distance measures, namely the Positive Distance from Average (PDA) and the Negative Distance from Average (NDA), and that the evaluation of alternatives is performed according to the higher values of the PDA and the lower values of the NDA. Based on Stanujkic et al [25], the computational procedure of the EDAS method for a decision-making problem with m criteria and n alternatives can be presented as follows:…”
Section: The Edas Methodsmentioning
confidence: 99%
“…Recently, Prof. Zavadskas offered several different method extensions adapted to deal with various sets e.g., the application of ARAS (Radovic et al, 2018) and SWARA methods to the analysis of rough sets, the use of EDAS to deal with interval T2 fuzzy sets (Keshavarz Ghorabaee et al, 2017b), grey numbers (Stanujkic et al, 2017c), intuitionistic fuzzy sets (Kahraman et al, 2017; and the stochastic problem solution , as well as the use of the entropy method in the KEMIRA method . Now, MCDM problems are solved using new neutrosophic sets.…”
Section: Fig 4 Increase In the Number Of Papers Describing Mcdm Metmentioning
confidence: 99%
“…76-86). method (Seker & Zavadskas, 2017), the extensions of the OCRA method applied to grey numbers (Stanujkic et al, 2017d) and the extensions of the ELECTRE method (Jahan & Zavadskas, 2019;Hashemi et al, 2016).…”
Section: Fig 4 Increase In the Number Of Papers Describing Mcdm Metmentioning
confidence: 99%
“…Štreimikienė et al (2016) paper presented the process of choice such multiple criteria decision-making methods as AHP and ARAS. Stanujkic et al (2017) proposed using the EDAS method with grey numbers. overviewed developments of TOPSIS method (Hwang & Yoon, 1981;Yoon, 1980) On the basis of summing up the previous comprehensive economic assessment, this paper used the method of classical AHP and TOPSIS to rank the comprehensive economic strength of major cities in Guizhou province.…”
Section: Introductionmentioning
confidence: 99%