ranking network-structured decision-making units and its application in bank branches
نویسندگان
چکیده
data envelopment analysis (dea) is a method used for measuring the efficiency of decision-making units. unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producing outputs which are subsequently fed as inputs to the second stage. these indices are introduced as intermediate indices. here, it is assumed that congruent decision-making units have a two-stage serial structure. in this structure, the first stage and second stages act as the supplier and the consumer of resources respectively. two ranking models based on the efficiency cloud and the common set of weights concepts were developed for ranking network-structured decision-making units. in the practical example presented in this study, 25 bank branches were ranked using the two-stage method.
منابع مشابه
Ranking Network-Structured Decision-Making Units and Its Application in Bank Branches
Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units. Unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producin...
متن کاملFUZZY SOFT MATRIX THEORY AND ITS APPLICATION IN DECISION MAKING
In this work, we define fuzzy soft ($fs$) matrices and theiroperations which are more functional to make theoretical studies inthe $fs$-set theory. We then define products of $fs$-matrices andstudy their properties. We finally construct a $fs$-$max$-$min$decision making method which can be successfully applied to theproblems that contain uncertainties.
متن کاملRanking Decision Making Units, using Non-radial Model, applying Bootstrap
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. This article suggests bootstrapping method for ranking measures of technical efficiency as calculated via non-radial mod...
متن کاملRanking Decision-Making Units Using Double-Frontier Analysis Approach
Data envelopment analysis is a nonparametric method for measuring the performance of a set of decision-making units (DMUs) that consume multiple inputs to produce multiple outputs. Using this approach, the performance of DMUs is measured from both optimistic and pessimistic views. However, their results are very misleading and even contradictory in many cases. Indisputably, different performanc...
متن کاملRanking Bank Branches with Interval Data By IAHP and TOPSIS
This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP) and the technique for order preference by similarity to an ideal solution (TOPSIS). Since the efficiency score of unity is assigned to ...
متن کاملRanking Bank Branches with Interval Data By IAHP and TOPSIS
This paper proposes a method for ranking decision making units (DMUs) using some of the multiple criteria decision making / multiple attribute decision making (MCDM /MADM) techniques, namely, interval analytic hierarchy process (IAHP) and the technique for order preference by similarity to an ideal solution (TOPSIS). Since the efficiency score of unity is assigned to ...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
international journal of industrial mathematicsجلد ۵، شماره ۴، صفحات ۳۹۷-۴۰۲
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023