Ranking irregularities when evaluating alternatives by using some ELECTRE methods

By Xiaoting Wang, Evangelos Triantaphyllou. 2008

601 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2dbb5112d94d238393482ad27b48e3c89aa78d0c

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In Control and Systems Engineering

In Management Science and Operations Research

Citations in the corpus

Decision making in equipment selection: an integrated approach with AHP and PROMETHEE (2008, methodology): “Among these methods, the most popular ones are scoring models (Nelson 1986), analytic hierarchy process (AHP) (Ong et al. 2001), analytic network process (ANP) (Yuksel and Dau gdeviren 2007), axiomatic design (AD) (Kulak and Kahraman 2005), utility models (Munoz and Sheng 1995), TOPSIS (Tong et al. ”
Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods (2020, background): “This is very important because different methods can provide different solutions to the same problem [28].”
A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method (2012, methodology): “ELECTRE II [39] and ELECTRE III [32] are the most widely used versions of ELECTRE.”
Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment (2014, neutral): “It has recently been shown that ELECTRE can be affected by rank reversal and this is due to the structure of the decision model which is based on pairwise comparisons and so it is dependent on the overall set of alternatives as is AHP (Wang and Triantaphyllou, 2008).”
How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy (2020, methodology): “Each of these phases includes a subset of the 10 characteristics that ☆This manuscript was processed by Associate Editor Triantaphyllou.”
Generalised framework for multi-criteria method selection (2018, methodology): “This fact has been conﬁrmed in a number of publications, in which rankings of decision variants were examined with the use of different MCDA methods [1,19,23–26] .”
Some Picture Fuzzy Aggregation Operators and Their Applications to Multicriteria Decision-Making (2017, methodology): “Since practically it is not possible to determine which one is the best suitable alternative for a given decision problem, Wang and Triantaphyllou [33] established following testing criteria to evaluate the validity of MCDM methods.”
An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment (2011, background): “However, uncertainty and fuzziness inherent in the structure of information make rigorous mathematical models unsuitable for solving multi-criteria problems with imprecise information [3,67,70,71].”