Multicriteria Methodology for Decision Aiding
By Simon French. 1996
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- Edmundas Kazimieras Zavadskas
- Abbas Mardani
- Peide Liu
- Zenonas Turskis
- Xiaolu Zhang
- Zeshui Xu
- Ahmad Jusoh
- Wojciech Sałabun
Citations in the corpus
- Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions (2008, methodology): “• The methods are designed for different problem statements (problematics, see [24]): – choice of the best alternative (e.”
- A new additive ratio assessment (ARAS) method in multicriteria decision‐making (2010, methodology): “A simulation by Zanakis et al. (1998) evaluated eight MCDM methods: SAW, multiplicative exponential weighting (MEW); ELECTRE, and AHPs: SAW and MEW performed best.”
- Generalised framework for multi-criteria method selection (2018, methodology): “The preferential situations can be combined in an “outranking” relation, which contains the situations of indifference as well as strict and weak preference ( a i S a j ) [37] .”
- Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods (2020, methodology): “Therefore, concerning recommended multi-criteria decisions, the term “optimal” is not used but ”most satisfactory decision-maker” [23] which means optimum in the sense of Pareto [2].”
- A multicriteria approach for measuring the sustainability of different poultry production systems (2012, methodology): “The methodology of MCDA (Zeleny, 1982) is based on the outranking relation concept established by Bernard Roy through the development of the Electre method (Roy, 1996; Roy and Bertier, 1971), which can be employed to facilitate decision-making activities (Huang and Chen, 2005).”
- A cosine maximization method for the priority vector derivation in AHP (2014, unknown): “MCDM deals with three main types of decision problems: ranking, sorting and choice (Roy, 1996; Peng, Kou, Wang, & Shi, 2011; Kou, Lu, Peng, & Shi, 2012; Corrente, Greco, & Slowiński, 2013).”