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Papers by Mehdi Soltanifar

Research paper thumbnail of Resource allocation and target setting: a CSW–DEA based approach

Annals of Operations Research, Apr 30, 2022

Research paper thumbnail of Voting-KEmeny Median Indicator Ranks Accordance method for determining criteria priority and weights in solving multi-attribute decision-making problems

Research paper thumbnail of A novel inverse DEA-R model with application in hospital efficiency

Socio-Economic Planning Sciences

Research paper thumbnail of Assessing and Ranking Cloud Computing Security Risks Based On a Hybrid Approach Based On Pairwise Comparisons

Iranian Journal of Information Processing and Management, 2021

Research paper thumbnail of Voting-KEMIRA Method for Determining Criteria Priority and Weights in Solving MADM Problems

Decision-making can be accounted for, as being one of the most essential and fundamental manageri... more Decision-making can be accounted for, as being one of the most essential and fundamental managerial tasks; and organizational research depends on its quality, so, from the point of view of connoisseurs, decision-making is the main essence of management. The KEmeny Median Indicator Ranks Accordance (KEMIRA) decision-making method is one of the latest Multi-Attribute Decision Making (MADM) methods, which has been conveyed in this paper by utilizing the preferential voting concept. A new Voting-KEMIRA model is expressed by rendering a linear programming model with weight control bylaw. In implementing this novel model on a real world problem, it is compared with the preceding method and finally a few of its advantages will be specified.

Research paper thumbnail of Inverse DEA-R models for merger analysis with negative data

IMA Journal of Management Mathematics, 2022

Data envelopment analysis (DEA) is a mathematical programming technique for efficiency analysis. ... more Data envelopment analysis (DEA) is a mathematical programming technique for efficiency analysis. For dealing with the data in ratio form, the DEA model for ratio data known as DEA-R exists in the literature. However, some ratio data like financial risk may be negative naturally. In this paper, we contribute to the literature in two ways. In the first place, we deal with DEA-R models in the presence of negative ratio data by proposing an inverse DEA model for merger analysis. In the second place, we develop DEA-R models for merger analysis that can deal with negative data. We apply our models in a real-world application of efficiency and merger analysis of an Iranian bank with 66 branches. The proposed models maintain data confidentiality. This motivates managers to participate in the evaluation and merger process. Our models also provide a reasonable endogenous weight restriction framework without restricting weights exogenously.

Research paper thumbnail of Improved Kemeny Median Indicator Ranks Accordance Method

Asia-Pacific Journal of Operational Research

Research paper thumbnail of Management Science Letters An application of DEA based Malmquist productivity index in university performance analysis

Measuring relative efficiency of various universities has been a subject for years. In fact, when... more Measuring relative efficiency of various universities has been a subject for years. In fact, when there is a growing competition among educational units, it is important to find facts on each university for making managerial decisions. In this paper, we present an empirical study to measure the relative efficiencies among different private universities in Iran. The proposed study of this paper uses data envelopment analysis along with Malmquist productivity index to measure the relative efficiencies of these units over the period [2004][2005][2006][2007]. The method uses three inputs including number of students, number of university professors and the number of employees. The model also includes the number of educated people as well as research outputs for outputs of the DEA model. The results indicate that there are some big gaps among various units in terms of the number of research products and the number of graduated students.

Research paper thumbnail of A new Group Voting Analytical Hierarchy Process Method

Research paper thumbnail of Determining All Minimal Paths of a Network

4 Abstract: In s tuding m any network f low p roblems, such as s tochastic cap acities and evalua... more 4 Abstract: In s tuding m any network f low p roblems, such as s tochastic cap acities and evaluating network flow reliability, the minimal p aths and cuts a re the essential concepts. In this paper w e will develop an algorithm to determine the minimal p aths in an acyclic network. T hen the algorithm is extended to determine the minimal p aths in a general ne twork.

Research paper thumbnail of Computing the Reliability of the Multi-Commodity Random Networks Flow

Research paper thumbnail of Analytical hierarchy process: revolution and evolution

Annals of Operations Research

Research paper thumbnail of A New Voting Model For Groups With Members of Unequal Power and Proficiency

To proposing a voting model for groups with members of unequal power and proficiency, we present ... more To proposing a voting model for groups with members of unequal power and proficiency, we present some models for rank ordering efficient candidates, by extending the ideas of some authors. Then, we propose a new methodology to rank the ranking models for the performance indices of only DEA efficient candidates based on a classical voting model. Also, an approach for combining the results obtained from the ranking models is presented.

Research paper thumbnail of A modified DEA cross efficiency method with negative data and its application in supplier selection

Basic Data Envelopment Analysis (DEA) models are designed for non-negative data. However, negativ... more Basic Data Envelopment Analysis (DEA) models are designed for non-negative data. However, negative data is inevitably used in many real-world issues. Also, multiple units with a maximum relative performance score (equal to one) can be obtained due to the benevolent view of evaluating Decision Making Units (DMUs) consistent performance. Therefore, the researchers proposed ranking models to differentiate efficient units. Cross efficiency is one of the most useful tools for DMUs ranking in the DEA. There are two major drawbacks to implementing this process. First, it gives different results in the presence of other optimal solutions; second, it does not provide a compelling reason to use the arithmetic mean to aggregate the results of the cross efficiency matrix. In this paper, first a new non-radial model is proposed to evaluate the performance of DMUs in the presence of negative data and then based on this model a new secondary goal model is proposed to eliminate the first drawback i...

Research paper thumbnail of Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs

Data envelopment analysis is a linear programming-based approach used to evaluate the relative pe... more Data envelopment analysis is a linear programming-based approach used to evaluate the relative performance of decision making units (DMU's) that perform the same tasks with multiple inputs and multiple outputs. Due to the optimistic view of the DEA in evaluating the performance of homogeneous decision making units, multiple units with a maximum relative efficiency score (equal to unit) are highly likely. Therefore, ranking models were presented to distinguish between efficient units. Cross efficiency evaluation is one of the most useful tools for ranking DMUs in data envelopment analysis. This model has two major flaws in implementation. First, it yields different results in the presence of optimal alternatives; and second, there is no compelling reason to use the arithmetic mean to integrate the cross-performance matrix results. In this paper, a new approach, inspired by the preferential voting process and the idea proposed in the TOPSIS method, is presented to combine cross-pe...

Research paper thumbnail of The Voting Linear Assignment Method for Determining Priority and Weights in Solving MADM Problems

Linear Assignment (LAM) is one of the Multi-Attribute Decision Making (MADM) methods that uses in... more Linear Assignment (LAM) is one of the Multi-Attribute Decision Making (MADM) methods that uses integer programming models in the solution process. In this method, only the final priority of the alternatives is determined and the distance between the alternatives is not clear. The purpose of this paper is to modify this method so that instead of the final priority of the alternatives, the final weight of the alternatives is presented. This is done using a linear programming model of Data Envelopment Analysis (DEA). In this paper, we propose a hybrid MADM-DEA method called Linear Assignment Voting (VLAM). The new method is explained with a numerical example. The method will then be implemented on a problem in the real world to demonstrate the application of the method. In this case study, VLAM demonstrates the prioritization of models proposed by experts for the purchase of excavators in a road construction company. Also, based on the results of this method, the weight of the first, s...

Research paper thumbnail of Preferential Voting in The Presence of Undesirable Voters

International Journal of Applied Decision Sciences

Research paper thumbnail of Selecting a Green Supplier Utilizing the New Fuzzy Voting Model and the Fuzzy Combinative Distance-Based Assessment Method

EURO Journal on Decision Processes

Research paper thumbnail of An investigation of the most common multi-objective optimization methods with propositions for improvement

Decision Analytics Journal

Research paper thumbnail of Ranking of petrochemical companies using preferential voting at unequal levels of voting power through data envelopment analysis

Mathematical Sciences

The initial issue that must be addressed in teamwork is the manner in which decisions are made by... more The initial issue that must be addressed in teamwork is the manner in which decisions are made by the group and its members. Voting is a procedure to aggregate individual votes to achieve a collective decision. Since individuals have varied opinions and preferences, preferential voting assists in conveying the priorities of the voters to the society or community. In many circumstances, such as voting-based managerial decisions, voters are of a voting preference of unequal voting power. This paper presents a method for the ranking of preferential voting with voters of unequal voting power, which, in addition to the utilization of preference voting models, employs the DEA and assurance region techniques. The deployment of DEA technique causes an increment in the competence of discriminating the ranking of candidates, and in the finale the proposed method is expressed for an empirical example to rank the petrochemical companies in the Tehran Stock Exchange.

Research paper thumbnail of Resource allocation and target setting: a CSW–DEA based approach

Annals of Operations Research, Apr 30, 2022

Research paper thumbnail of Voting-KEmeny Median Indicator Ranks Accordance method for determining criteria priority and weights in solving multi-attribute decision-making problems

Research paper thumbnail of A novel inverse DEA-R model with application in hospital efficiency

Socio-Economic Planning Sciences

Research paper thumbnail of Assessing and Ranking Cloud Computing Security Risks Based On a Hybrid Approach Based On Pairwise Comparisons

Iranian Journal of Information Processing and Management, 2021

Research paper thumbnail of Voting-KEMIRA Method for Determining Criteria Priority and Weights in Solving MADM Problems

Decision-making can be accounted for, as being one of the most essential and fundamental manageri... more Decision-making can be accounted for, as being one of the most essential and fundamental managerial tasks; and organizational research depends on its quality, so, from the point of view of connoisseurs, decision-making is the main essence of management. The KEmeny Median Indicator Ranks Accordance (KEMIRA) decision-making method is one of the latest Multi-Attribute Decision Making (MADM) methods, which has been conveyed in this paper by utilizing the preferential voting concept. A new Voting-KEMIRA model is expressed by rendering a linear programming model with weight control bylaw. In implementing this novel model on a real world problem, it is compared with the preceding method and finally a few of its advantages will be specified.

Research paper thumbnail of Inverse DEA-R models for merger analysis with negative data

IMA Journal of Management Mathematics, 2022

Data envelopment analysis (DEA) is a mathematical programming technique for efficiency analysis. ... more Data envelopment analysis (DEA) is a mathematical programming technique for efficiency analysis. For dealing with the data in ratio form, the DEA model for ratio data known as DEA-R exists in the literature. However, some ratio data like financial risk may be negative naturally. In this paper, we contribute to the literature in two ways. In the first place, we deal with DEA-R models in the presence of negative ratio data by proposing an inverse DEA model for merger analysis. In the second place, we develop DEA-R models for merger analysis that can deal with negative data. We apply our models in a real-world application of efficiency and merger analysis of an Iranian bank with 66 branches. The proposed models maintain data confidentiality. This motivates managers to participate in the evaluation and merger process. Our models also provide a reasonable endogenous weight restriction framework without restricting weights exogenously.

Research paper thumbnail of Improved Kemeny Median Indicator Ranks Accordance Method

Asia-Pacific Journal of Operational Research

Research paper thumbnail of Management Science Letters An application of DEA based Malmquist productivity index in university performance analysis

Measuring relative efficiency of various universities has been a subject for years. In fact, when... more Measuring relative efficiency of various universities has been a subject for years. In fact, when there is a growing competition among educational units, it is important to find facts on each university for making managerial decisions. In this paper, we present an empirical study to measure the relative efficiencies among different private universities in Iran. The proposed study of this paper uses data envelopment analysis along with Malmquist productivity index to measure the relative efficiencies of these units over the period [2004][2005][2006][2007]. The method uses three inputs including number of students, number of university professors and the number of employees. The model also includes the number of educated people as well as research outputs for outputs of the DEA model. The results indicate that there are some big gaps among various units in terms of the number of research products and the number of graduated students.

Research paper thumbnail of A new Group Voting Analytical Hierarchy Process Method

Research paper thumbnail of Determining All Minimal Paths of a Network

4 Abstract: In s tuding m any network f low p roblems, such as s tochastic cap acities and evalua... more 4 Abstract: In s tuding m any network f low p roblems, such as s tochastic cap acities and evaluating network flow reliability, the minimal p aths and cuts a re the essential concepts. In this paper w e will develop an algorithm to determine the minimal p aths in an acyclic network. T hen the algorithm is extended to determine the minimal p aths in a general ne twork.

Research paper thumbnail of Computing the Reliability of the Multi-Commodity Random Networks Flow

Research paper thumbnail of Analytical hierarchy process: revolution and evolution

Annals of Operations Research

Research paper thumbnail of A New Voting Model For Groups With Members of Unequal Power and Proficiency

To proposing a voting model for groups with members of unequal power and proficiency, we present ... more To proposing a voting model for groups with members of unequal power and proficiency, we present some models for rank ordering efficient candidates, by extending the ideas of some authors. Then, we propose a new methodology to rank the ranking models for the performance indices of only DEA efficient candidates based on a classical voting model. Also, an approach for combining the results obtained from the ranking models is presented.

Research paper thumbnail of A modified DEA cross efficiency method with negative data and its application in supplier selection

Basic Data Envelopment Analysis (DEA) models are designed for non-negative data. However, negativ... more Basic Data Envelopment Analysis (DEA) models are designed for non-negative data. However, negative data is inevitably used in many real-world issues. Also, multiple units with a maximum relative performance score (equal to one) can be obtained due to the benevolent view of evaluating Decision Making Units (DMUs) consistent performance. Therefore, the researchers proposed ranking models to differentiate efficient units. Cross efficiency is one of the most useful tools for DMUs ranking in the DEA. There are two major drawbacks to implementing this process. First, it gives different results in the presence of other optimal solutions; second, it does not provide a compelling reason to use the arithmetic mean to aggregate the results of the cross efficiency matrix. In this paper, first a new non-radial model is proposed to evaluate the performance of DMUs in the presence of negative data and then based on this model a new secondary goal model is proposed to eliminate the first drawback i...

Research paper thumbnail of Supplier Ranking Using Data Envelopment Analysis and New Cross Efficiency Evaluation in the Presence of Undesirable Outputs

Data envelopment analysis is a linear programming-based approach used to evaluate the relative pe... more Data envelopment analysis is a linear programming-based approach used to evaluate the relative performance of decision making units (DMU's) that perform the same tasks with multiple inputs and multiple outputs. Due to the optimistic view of the DEA in evaluating the performance of homogeneous decision making units, multiple units with a maximum relative efficiency score (equal to unit) are highly likely. Therefore, ranking models were presented to distinguish between efficient units. Cross efficiency evaluation is one of the most useful tools for ranking DMUs in data envelopment analysis. This model has two major flaws in implementation. First, it yields different results in the presence of optimal alternatives; and second, there is no compelling reason to use the arithmetic mean to integrate the cross-performance matrix results. In this paper, a new approach, inspired by the preferential voting process and the idea proposed in the TOPSIS method, is presented to combine cross-pe...

Research paper thumbnail of The Voting Linear Assignment Method for Determining Priority and Weights in Solving MADM Problems

Linear Assignment (LAM) is one of the Multi-Attribute Decision Making (MADM) methods that uses in... more Linear Assignment (LAM) is one of the Multi-Attribute Decision Making (MADM) methods that uses integer programming models in the solution process. In this method, only the final priority of the alternatives is determined and the distance between the alternatives is not clear. The purpose of this paper is to modify this method so that instead of the final priority of the alternatives, the final weight of the alternatives is presented. This is done using a linear programming model of Data Envelopment Analysis (DEA). In this paper, we propose a hybrid MADM-DEA method called Linear Assignment Voting (VLAM). The new method is explained with a numerical example. The method will then be implemented on a problem in the real world to demonstrate the application of the method. In this case study, VLAM demonstrates the prioritization of models proposed by experts for the purchase of excavators in a road construction company. Also, based on the results of this method, the weight of the first, s...

Research paper thumbnail of Preferential Voting in The Presence of Undesirable Voters

International Journal of Applied Decision Sciences

Research paper thumbnail of Selecting a Green Supplier Utilizing the New Fuzzy Voting Model and the Fuzzy Combinative Distance-Based Assessment Method

EURO Journal on Decision Processes

Research paper thumbnail of An investigation of the most common multi-objective optimization methods with propositions for improvement

Decision Analytics Journal

Research paper thumbnail of Ranking of petrochemical companies using preferential voting at unequal levels of voting power through data envelopment analysis

Mathematical Sciences

The initial issue that must be addressed in teamwork is the manner in which decisions are made by... more The initial issue that must be addressed in teamwork is the manner in which decisions are made by the group and its members. Voting is a procedure to aggregate individual votes to achieve a collective decision. Since individuals have varied opinions and preferences, preferential voting assists in conveying the priorities of the voters to the society or community. In many circumstances, such as voting-based managerial decisions, voters are of a voting preference of unequal voting power. This paper presents a method for the ranking of preferential voting with voters of unequal voting power, which, in addition to the utilization of preference voting models, employs the DEA and assurance region techniques. The deployment of DEA technique causes an increment in the competence of discriminating the ranking of candidates, and in the finale the proposed method is expressed for an empirical example to rank the petrochemical companies in the Tehran Stock Exchange.