2017
DOI: 10.14445/22315381/ijett-v46p211
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Evaluating Alternatives through the Application of Topsis Method with Entropy Weight

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Cited by 27 publications
(19 citation statements)
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“…The same model, but in fuzzy form [17], was applied for the evaluation of 12 banks in the territory of Serbia, including 19 evaluation parameters. The combination of entropy and TOPSIS methods was used in [18] to perform the evaluation of 12 banks based on five criteria: growth rate, number of branches, numbers of ATM, net income, and lending. Beheshtinia and Omidi [19] applied (AHP) and modified digital logic (MDL) tools for determining the weight values of 23 criteria, while fuzzy TOPSIS and fuzzy VIKOR methods were implemented in the evaluation process of four banks in Iran.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The same model, but in fuzzy form [17], was applied for the evaluation of 12 banks in the territory of Serbia, including 19 evaluation parameters. The combination of entropy and TOPSIS methods was used in [18] to perform the evaluation of 12 banks based on five criteria: growth rate, number of branches, numbers of ATM, net income, and lending. Beheshtinia and Omidi [19] applied (AHP) and modified digital logic (MDL) tools for determining the weight values of 23 criteria, while fuzzy TOPSIS and fuzzy VIKOR methods were implemented in the evaluation process of four banks in Iran.…”
Section: Literature Reviewmentioning
confidence: 99%
“…n is the total number of criteria exiting the model and m is the total number of criteria remaining in the model. In order to obtain the values of the 12 criteria that are equally represented in the hierarchical structure (Figure 3), the values of the criteria exiting the model are equally distributed to the criteria that remain in the model by applying Equation (18). Since the efficiency group and profitability group have per three sub-criteria from the beginning, they have been unchanged.…”
Section: The Influence Of Hierarchical Structure On Determining the Vmentioning
confidence: 99%
“…Alike plants, constraint (21) is an inventory control and material flow balance constraint for a distribution center in each period. Constraint (22) expresses that an alliance among the plants of the agile SCN will be created via determining the active plants. Constraint (23) quarantines that each possible alliance will occur among opened facilities in production echelon of the SC.…”
Section: Constraintsmentioning
confidence: 99%
“…Constraint (23) quarantines that each possible alliance will occur among opened facilities in production echelon of the SC. Constraints (24) and (25) are the same as constraints (22) and (23) to address the alliance creation between opened distribution centers. Constraints (26) and (27) express the required conditions for the creation of an alliance between the plants and distribution centers in different echelons.…”
Section: Constraintsmentioning
confidence: 99%
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