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Papers by Hadi Bagherzadeh Valami

Research paper thumbnail of Production Possibility of Production Plans in DEA with Imprecise Input and Output

Research Journal of Applied Sciences, Engineering and Technology, 2013

Research paper thumbnail of Congestion: relation between traditional DEA congestion and two-stage processes congestion

Rairo-operations Research, Jan 3, 2024

Congestion is a kind of inefficiency because it causes the decision-making units (DMUs) to be ine... more Congestion is a kind of inefficiency because it causes the decision-making units (DMUs) to be inefficient and reduces their output. Identifying inefficient DMUs and determining the cause of their inefficiencies has been one of the most important reasons for referring to the internal structure of DMUs and analyzing the effect of intermediate products on the subDMU's (or stages) performance. In this paper, to characterize the cause of the DMU's congestion, we refer to its internal structure as a two-stage network data envelopment analysis (DEA) and decompose the DMU's congestion into black-box (BB) and two-stage structure congestion. Also, inputs have two separate and simultaneous roles; black-box inputs role and stage1's input role, so three congestion types occur. Thus, we sought to analyze the relation between two types of initial inputs congestion, intermediate products congestion, and express their effects on BB congestion. Finally, we define three congestion definitions and model the relation between two types of input congestion, intermediate products congestion, and BB inputs congestion. Finally, a practical example illustrates the proposed method.

Research paper thumbnail of Group performance evaluation, an application of data envelopment analysis

Journal of Computational and Applied Mathematics, 2009

The contribution of this paper is to provide an approach for evaluating the performance of a grou... more The contribution of this paper is to provide an approach for evaluating the performance of a group of decision making units (DMUs) based on the production technology. Group evaluation is an application of data envelopment analysis (DEA). DEA uses linear programming to provide a suitable technique to estimate a multiple-input/multipleoutput empirical efficient function. This paper applies group evaluation to evaluate the performance of Iranian commercial banks.

Research paper thumbnail of Introducing a Relational Network DEA Model with Stochastic Intermediate measures for Portfolio Optimization

Conflict intermediate measures in DEA models, especially in constraint and open the black box, is... more Conflict intermediate measures in DEA models, especially in constraint and open the black box, is the main difference between traditional DEA and network DEA models. Furthermore, from the application's perspective, intermediate measures aren’t deterministic. So, for measuring the efficiency more precisely, they can be considered as imprecise data. The aim of this paper is introducing a stochastic relational model for measuring overall efficiency that deals with intermediate and outputs as stochastic data. The proposed model is applied for portfolio optimization. An actual data set of 27 Iranian stock industries is applied as numerical example. The result shows that SR-NDEA has better discriminant power than R-NDEA model.

Research paper thumbnail of A geometrical approach for fuzzy production possibility set in data envelopment analysis (DEA) with fuzzy input - output levels

Data envelopment analysis (DEA) is a managerial tool used to measure the relative efficiency of d... more Data envelopment analysis (DEA) is a managerial tool used to measure the relative efficiency of decision making units (DMU). Classic DEA models estimates a production frontier using efficient DMUs. This frontier bounds all feasible production plans named production possibility set. Traditional DEA models require crisp input and output data. However, in real-world problems inputs and outputs are often imprecise like fuzzy numbers. When the inputs and outputs of the DMUs are fuzzy numbers the exact location of production frontier cannot be determined precisely, therefore production possibility set is an imprecise set. This paper considers production possibility set as a fuzzy set that all production plans are considered as its member with different degrees of membership and a membership function is derived under a geometrical approach in a two dimensional space for the case when the DMUs have only one fuzzy input or output and finally this membership function is generalized to the mod...

Research paper thumbnail of Sensitivity Analysis of CCR-Efficient Units in the Presence of the Indicator with Limited Source

Data envelopment analysis (DEA), is a technique to evaluate the ability of the decision making un... more Data envelopment analysis (DEA), is a technique to evaluate the ability of the decision making units (DMUs) by using the mathematical programming inspired by some input and output homogeneous indicators. One of the topics of interest in DEA is the sensitivity and the stability analysis of an efficient DMU, when the data variations of inputs and outputs are considered. Presence of the indicators with limited sources effects the sensitivity of the DMUs. Same indicators exist as fixed amount in a community and the DMUs can own them with their ability and if a DMU loses the same amount of the indicator, the rest of the DMUs find the ability to own some of them without even changing their capacity of other indicators. This paper develop a sensitivity analysis for the efficient DMUs, when there is variation in an input or output indicator with a limited source.

Research paper thumbnail of Cost efficiency with triangular fuzzy number input prices: An application of DEA

Chaos, Solitons & Fractals, 2009

The cost efficiency model (CE) has been considered by researchers as a Data Envelopment Analysis ... more The cost efficiency model (CE) has been considered by researchers as a Data Envelopment Analysis (DEA) model for evaluating the efficiency of DMUs. In this model, the possibility of producing the outputs of a target DMU is evaluated by the input prices of the DMU. This provides a criterion for evaluating the CE of DMUs. The main contribution of this paper is to provide an approach for generalizing the CE of DMUs when their input prices are triangular fuzzy numbers, where preliminary concepts of fuzzy theory and CE, are directly used.

Research paper thumbnail of Production Possibility of Production Plans in DEA with Imprecise Input and Output

Research Journal of Applied Sciences, Engineering and Technology, 2013

Research paper thumbnail of Congestion: relation between traditional DEA congestion and two-stage processes congestion

Rairo-operations Research, Jan 3, 2024

Congestion is a kind of inefficiency because it causes the decision-making units (DMUs) to be ine... more Congestion is a kind of inefficiency because it causes the decision-making units (DMUs) to be inefficient and reduces their output. Identifying inefficient DMUs and determining the cause of their inefficiencies has been one of the most important reasons for referring to the internal structure of DMUs and analyzing the effect of intermediate products on the subDMU's (or stages) performance. In this paper, to characterize the cause of the DMU's congestion, we refer to its internal structure as a two-stage network data envelopment analysis (DEA) and decompose the DMU's congestion into black-box (BB) and two-stage structure congestion. Also, inputs have two separate and simultaneous roles; black-box inputs role and stage1's input role, so three congestion types occur. Thus, we sought to analyze the relation between two types of initial inputs congestion, intermediate products congestion, and express their effects on BB congestion. Finally, we define three congestion definitions and model the relation between two types of input congestion, intermediate products congestion, and BB inputs congestion. Finally, a practical example illustrates the proposed method.

Research paper thumbnail of Group performance evaluation, an application of data envelopment analysis

Journal of Computational and Applied Mathematics, 2009

The contribution of this paper is to provide an approach for evaluating the performance of a grou... more The contribution of this paper is to provide an approach for evaluating the performance of a group of decision making units (DMUs) based on the production technology. Group evaluation is an application of data envelopment analysis (DEA). DEA uses linear programming to provide a suitable technique to estimate a multiple-input/multipleoutput empirical efficient function. This paper applies group evaluation to evaluate the performance of Iranian commercial banks.

Research paper thumbnail of Introducing a Relational Network DEA Model with Stochastic Intermediate measures for Portfolio Optimization

Conflict intermediate measures in DEA models, especially in constraint and open the black box, is... more Conflict intermediate measures in DEA models, especially in constraint and open the black box, is the main difference between traditional DEA and network DEA models. Furthermore, from the application's perspective, intermediate measures aren’t deterministic. So, for measuring the efficiency more precisely, they can be considered as imprecise data. The aim of this paper is introducing a stochastic relational model for measuring overall efficiency that deals with intermediate and outputs as stochastic data. The proposed model is applied for portfolio optimization. An actual data set of 27 Iranian stock industries is applied as numerical example. The result shows that SR-NDEA has better discriminant power than R-NDEA model.

Research paper thumbnail of A geometrical approach for fuzzy production possibility set in data envelopment analysis (DEA) with fuzzy input - output levels

Data envelopment analysis (DEA) is a managerial tool used to measure the relative efficiency of d... more Data envelopment analysis (DEA) is a managerial tool used to measure the relative efficiency of decision making units (DMU). Classic DEA models estimates a production frontier using efficient DMUs. This frontier bounds all feasible production plans named production possibility set. Traditional DEA models require crisp input and output data. However, in real-world problems inputs and outputs are often imprecise like fuzzy numbers. When the inputs and outputs of the DMUs are fuzzy numbers the exact location of production frontier cannot be determined precisely, therefore production possibility set is an imprecise set. This paper considers production possibility set as a fuzzy set that all production plans are considered as its member with different degrees of membership and a membership function is derived under a geometrical approach in a two dimensional space for the case when the DMUs have only one fuzzy input or output and finally this membership function is generalized to the mod...

Research paper thumbnail of Sensitivity Analysis of CCR-Efficient Units in the Presence of the Indicator with Limited Source

Data envelopment analysis (DEA), is a technique to evaluate the ability of the decision making un... more Data envelopment analysis (DEA), is a technique to evaluate the ability of the decision making units (DMUs) by using the mathematical programming inspired by some input and output homogeneous indicators. One of the topics of interest in DEA is the sensitivity and the stability analysis of an efficient DMU, when the data variations of inputs and outputs are considered. Presence of the indicators with limited sources effects the sensitivity of the DMUs. Same indicators exist as fixed amount in a community and the DMUs can own them with their ability and if a DMU loses the same amount of the indicator, the rest of the DMUs find the ability to own some of them without even changing their capacity of other indicators. This paper develop a sensitivity analysis for the efficient DMUs, when there is variation in an input or output indicator with a limited source.

Research paper thumbnail of Cost efficiency with triangular fuzzy number input prices: An application of DEA

Chaos, Solitons & Fractals, 2009

The cost efficiency model (CE) has been considered by researchers as a Data Envelopment Analysis ... more The cost efficiency model (CE) has been considered by researchers as a Data Envelopment Analysis (DEA) model for evaluating the efficiency of DMUs. In this model, the possibility of producing the outputs of a target DMU is evaluated by the input prices of the DMU. This provides a criterion for evaluating the CE of DMUs. The main contribution of this paper is to provide an approach for generalizing the CE of DMUs when their input prices are triangular fuzzy numbers, where preliminary concepts of fuzzy theory and CE, are directly used.