Table 2.

Description of MCDM methods

MCDM methods	Acronym	Description	Complexity	References
Analytic Hierarchy Process	AHP	A structured method for organizing and analyzing complex decisions	$O(min\{m{n}^2,n{m}^2\})$	Saaty [56]
Analytic Network Process	ANP	Generalization of the AHP method which enables the existence of interdependencies among criteria	$O(min\{m{n}^2,n{m}^2\})$	Saaty [57]
Technique for order of preference by similarity to ideal solution	TOPSIS	A method of compensatory aggregation	$O(mn)$	Yoon and Hwang [58]
VlseKriterijumska Optimizacija I Kompromisno Resenje	VIKOR	A compromise approach of MCDM, determines the best alternative by ranking the closeness to the ideal solution	$O(mn)$	Opricovic [59]
An acronym in Portuguese for Interactive and Multicriteria Decision-Making	TODIM	A method by measuring the dominance degree of each alternative over the other alternatives using the overall value	$O(m^{2}n)$	Gomes and Lima [60]
Preference ranking organization method for enrichment of evaluations	PROMETHEE	Family of outranking methods based on the selection of a preference function for each criterion	$O(m^{2}n)$	Brans and Vincke [61]
Multi-objective optimization ratio analysis	MOORA	An objective method based on comprehensive values of alternatives on all criteria and the most regret value on one criterion	$O(mn)$	Brauers and Zavadskas [62]
Elimination and Choice Translating Reality	ELECTRE	An outranking method to sort out the best alternative by comparing each pair of actions based on several outranking relations	$O(m^{2}n)$	Benayoun et al. [63]
DEcision-MAking Trial and Evaluation Laboratory	DEMATEL	A method used to construct a network relation in order to examine the internal relation among attributes	$O(n^2)$	Yamazaki et al. [64]
Best–Worst Method	BWM	An MCDM method based on pairwise comparisons between the best or the worst criterion and other criteria	$O(n^2)$	Rezaei [65]
COmplex PRoportional ASsessment	COPRAS	A method used to assess the maximum and minimum index values. The effect of maximum and minimum indexes of attributes on the assessment results is considered separately	$O(mn)$	Zavadskas et al. [66]
Weighted Aggregates Sum Product Assessment	WASPAS	A combination of weighted sum model and weighted product model	$O(mn)$	Zavadskas et al. [67]