Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (Swara)

By Violeta Keršulienė, Edmundas Kazimieras Zavadskas, Zenonas Turskis. 2010

1,380 citations recorded by the source corpus.

Abstract The paper considers major principles of application of the multi‐attribute systems to solve legislative tasks. In order to assess dispute resolution methods from economic, social and other points of view, it is necessary to apply methods for assessing solutions according to multiple attributes. All known multi‐attribute methods cannot value the atribute weights as one weight of attribute is higher or lower significant than the other attribute. The new step‐wise weight assessment ratio analysis method (SWARA) allows including experts, lawyers or dispute parties opinion about significance ratio of the attributes in the process of rational decision determination. SWARA method could be applied in practical implementation of specialised decision support systems and alternative dispute resolution in virtual environment. Starting with principles and established approaches, a problem‐structuring methodology was developed which would condition the problem to allow a more thoughtful application of existing...

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Citations in the corpus

Specific character of objective methods for determining weights of criteria in MCDM problems: Entropy, CRITIC and SD (2021, methodology): “, 1987), step-wise weight assessment ratio analysis (SWARA) (Kersuliene et al., 2010), full consistency method (FUCOM) (Pamučar et al.”
Investment prioritizing in high tech industries based on SWARA-COPRAS approach (2014, methodology): “2011; Keršulienė, Turskis 2011), FARE (Ginevicius 2011), SWARA (Keršulienė et al. 2010), etc.”
Sustainable Decision-Making in Civil Engineering, Construction and Building Technology (2017, unknown): “, 2010 [128] 1 WSM, MacCrimon 1968 [121] 1 EDAS, Keshavarz Ghorabaee et al.”
A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM) (2018, methodology): “The best-known methods from the group of the subjective methods of determining the weighting values of criteria are the following: the AHP method [12], the DEMATEL (Decision-making Trial and Evaluation Laboratory) method [13], the SWARA (Step-Wise Weight Assessment Ratio Analysis) method [20], and t”
Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization (2018, methodology): “To assess the spatial relationship between spring location and conditioning factors, in this research, step-wise assessment ratio analysis (SWARA) (Keršuliene et al., 2010), a multi-criteria decision-making (MCDM) analysis, was used.”
Analytical hierarchy process: revolution and evolution (2021, methodology): “The SWARA method is an index weighting method developed by Keršuliene et al. (2010).”
THE USE OF THE PIVOT PAIRWISE RELATIVE CRITERIA IMPORTANCE ASSESSMENT METHOD FOR DETERMINING THE WEIGHTS OF CRITERIA (2018, methodology): “Table 1 The Usage of the SWARA Method Decision-making problems Authors Rational dispute resolution Kersuliene et al. (2010) An architect selection Kersuliene and Turskis (2011) A shopping mall location selection Hashemkhani Zolfani et al. (2013) A machine tool selection Aghdaie et al. (2013a)…”
Multiple criteria decision making (MCDM) methods in economics: an overview (2011, methodology): “ARAS-G presented Step-wise weight assessment ratio analysis (SWARA) Keršuliene et al. (2010) Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis O ut ra nk in g re la tio ns ELimination Et Choix Traduisant la REalité (ELimination and Choice…”
Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms (2021, methodology): “In this study, the importance of sub-class of respective variables was measured through SWARA weight, which was developed by [64].”
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 (2010, methodology): “There are various approaches for assessing weights (Zavadskas et al. 2010a), e.g., the eigenvector method, SWARA (Keršulienė et al. 2010), expert method (Zavadskas and Vilutienė 2006), Entropy method, etc.”