Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS

By Serafim Opricovic, Gwo-Hshiung Tzeng. European Journal of Operational Research, 2004

4,447 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b31aa0b60875ea0e0d7f2aeffc93ace4e18ed3da

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Citations in the corpus

Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information (2013, methodology): “…method [19] [20] [21], the gray relational analysis method [22], the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method [23] [24] [25], the PROMETHEE (Preference Ranking Organisation METHod for Enrichment Evaluations) method [26], and the ELECTRE (ELimination Et Choix…”
Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making (2015, methodology): “To show the difference between the VIKOR and TOPSIS methods, Tzeng et al. [26] used these two methods respectively to select a moderate fuel mode for buses in urban area of Taiwan with several types of fuels such as electricity, fuel cell (hydrogen) and methanol considered as alternative-fuel modes.”
A VIKOR Method for Solving Personnel Training Selection Problem (2012, methodology): “The VIKOR method was introduced as an applicable technique to implement within MCDM [6],[7],[11].”
Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation (2021, methodology): “…be used in classical efficiency frontier models such as Stochastic Frontier Analysis (SFA) of parametric techniques (Cuesta, Lovell, and Zof ıo 2009; Orea and Wall 2017), and DEA of non-parametric techniques (Dyckhoff and Allen 2001; Zhou, Ang, and Poh 2006; Halkos and Papageorgiou 2016; Gudipudi…”
Group decision making process for supplier selection with VIKOR under fuzzy environment (2010, methodology): “The VIKOR method was developed for multi-criteria optimization of complex systems (Opricovic & Tzeng, 2004).”
A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions (2018, methodology): “The compromise solution is a feasible solution which is the closest to the ideal solution like TOPSIS methodology (Opricovic and Tzeng 2004).”
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments (2017, background): “Liou, Tamošaitienė, Zavadskas and Tzeng [159], integrated the ANP and COPRAS-G for enhancing and choosing the green supplier in supply chain management system.”
Criteria in AHP: A Systematic Review of Literature (2015, neutral): ““The method evolves the modeling of preferences with outranking relations, followed by an exploitation procedure” [28]; Grey Relational analysis (GRA) compares “the reference scheme and the optional schemes and the one which is closer can be selected as the best treatment alternative” [16]; Techniqu”
A Hierarchical Group Decision-Making Approach for New Product Selection in a Fuzzy Environment (2013, methodology): “The main feature of this method is to determine a compromise solution that supports the maximum group utility for the majority and a minimum of individual regret for the opponent [16,17].”
Application of fuzzy VIKOR for evaluation of green supply chain management practices (2015, methodology): “The development of VIKOR method started with the following form of Lp-metric (Opricovic, 1998, 2011; Opricovic and Tzeng, 2002, 2004, 2007; Tzeng et al., 2002): Lpi ¼ Xn j¼1 Wj f j f ij f j f j !"”
Fuzzy VIKOR with an application to water resources planning (2011, methodology): “The compromise solution is a feasible solution which is the closest to the ideal (Opricovic & Tzeng, 2004).”
DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications (2018, methodology): “The VIKOR method introduces the ranking index based on the particular measure of “closeness” to the ideal solution by using linear normalization [36].”