Fuzzy Approach in Ranking of Banks according to Financial Performances

Table 6

Comparative analyses of the proposed FTOPSIS.

Methods	Application area	Attribute	Alternative	Separation measures	Solution methods
[28]	Supplier selection in supply chains	5	5, uncertain, modeled by TFNs, the linear normalization procedure [34]	Vertex method	The proposed aggregation method, FTOPSIS
[18]	Decision making model with fuzzy data	5	3, uncertain, modeled by TFNs, the linear normalization procedure [34]	Procedure is proposed in [36]	The fuzzy averaging method, FTOPSIS
[26]	Evaluation of hazardous waste	8	5, crisp, the vector normalization procedure [33]	n-dimensional Euclidean	FAHP, TOPSIS
[15]	Evaluation of performances in banking sector	13	5, crisp and uncertain, vector normalization procedure [33]	n-dimensional Euclidean	FAHP (handling by [30]), TOPSIS
[17]	Assessment of traffic police centers performance	4	30, uncertain, modeled by TrFNs, the linear normalization procedure [34]	Vertex method	The fuzzy averaging method, FTOPSIS
[19]	Illustrative example	2	10, uncertain, modeled by TFNs	Vertex method	FAHP (handling by [30]), FTOPSIS
[25]	Personnel selection	11	4, uncertain, modeled by TFNs, the linear normalization procedure [34]	Vertex method	The fuzzy averaging method, FTOPSIS
[20]	Energy planning	4	7, uncertain, modeled by TFNs, the linear normalization procedure [34]	Vertex method	FAHP (handling by [30]), FTOPSIS
[27]	Organizational strategy development in distribution channel management	4	5, uncertain, modeled by TFNs, a proposed normalization procedure [27]	A proposed procedure [27]	FAHP (handling by [30]), FTOPSIS
[21]	Ranking of quality goals	8	10, uncertain, modeled by TFNs, the linear normalization procedure [34]	Vertex method	FAHP (handling by [30]), FTOPSIS
[23]	Supplier selection of medical devices	5	7, crisp, linear normalization procedure; uncertain, modeled by TrFNs, the linear normalization procedure [25]	Procedure is proposed in [36]	Proposed method proposed in [28], FTOPSIS
[24]	Ranking of resilience factors	6	13, uncertain, modeled by TFNs, the linear normalization procedure [25]	Vertex method	FAHP (handling by [29]), FTOPSIS
The proposed model	Ranking of banks	5	12, crisp, the vector normalization procedure [24]	Vertex method Procedure is proposed in [36]. The extension of method based on the Hamming distance [34]; The extension of method based on the Euclidean distance [34]	FAHP (handling by [29]), FTOPSIS, the sensitively analyses