Healthcare Facilities Redesign Using Multicriteria Decision-Making: Fuzzy TOPSIS and Graph Heuristic Theories

Table 2

Summary of ranking methods: benefits and limitations [32].

Methods	Benefits	Limitations
TOPSIS	Provides the option of the most excellent stable performance results when input information changes; Informal in terms of maintaining similar steps regarding the size of the problem; Extensively used for several areas, such as logistics, engineering, and environmental management; Permits to deduce the absolute estimation of a particular alternative; Is based on a modest process and is easy to apply and programmable	It is not easy to weigh and keep the consistency of judgment, particularly with added attributes; The submission of Euclidean space does not look at the connection between the attributes
MOORA	More vital than others and involve all related investors interested in specific issues such as an advantage; Grounded on quantitative numbers and stronger than others based on ordinal processes; Nonsubjective on one side and more vital in linking with methods using subjective estimations to implement the selection for objective significance	This method has one major disadvantage in the information of objectives applied in the database when data cannot be the same as zero or deal with negative figures
VIKOR	Used in defining the steadiness intervals in weights; Supports multicriteria decision-making (MCDM) when an individual has no idea to express one’s preference; Based on the principle of MCDM systems cooperation programming; The cooperation solution in this method will be changed if the measure of weight does not suit the stability interval; Requires normalization	Require initials weights; Suitable in such cases when data are arithmetical values; The ranking requirement can be performed with the changed value of variable weights
PROMETHEE	Easy to apply; Does not need the criteria to be equivalent; Requires normalization; Not required to reduce the variable and the information transformation if this approach is not inaccurate	Does not provide a transparent background for assigning the weights; Requires the assignment of measures but does not provide an understandable background to assign the values
SAW	Can compensate in the middle of the variables; Participates in the value of variables and weights into a particular one greatness; Is appropriate to appraise a single alternative; The calculation process is not complex and can be executed without a computer system; Regularized values of the appraisal assist in visually calculating the changes between the alternatives	Is grounded on normalization by reducing the variables and changing to maximizing; Estimates generated do not always reflect the actual status. The answer might not be in terms of logic; The primary dimension of the variable is possibly about unity, whereas the most nominal size might reach zero; Might be applied if every variable is maximized before breakdown