Results 201 to 210 of about 14,679 (257)
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Finding Suitable Target in DEA and DEA-R
2023Organizations may have two strategies in DEA, D.E.A.-R. to find suitable targets for DMUs. In the first strategy, efficient, inefficient units are separated using the efficiency scale of classical models, then the target is determined for all inefficient units.
Hosseinzadeh Lotfi, F. +4 more
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A novel inverse DEA-R model for inputs/output estimation
2022Summary: In this paper, we propose inverse data envelopment analysis (DEA) models in the presence of ratio data. We present the inputs/output estimation process based on ratio based DEA (DEA-R) models. We first present a multiple objective linear programming (MOLP) model to determine the level of inputs based on the perturbed outputs, assuming that the
Gerami, Javad +2 more
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Relationship Between Ratio Analysis, DEA-R and DEA Models
2023Data envelopment analysis (DEA) is one of often used modeling tools for efficiency and performance evaluation of decision making units (DMUs). DEA-R is a group of novel mathematical models that combines standard DEA methodology and ratio analysis. The efficiency score given by standard DEA model is less than or equal to that given by DEA-R model.
Hosseinzadeh Lotfi, F. +4 more
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The Dea(r)th of Student Responsibility
College Teaching, 2005More than eleven hundred university students were surveyed to determine attitudes toward learning and accountability. Apathy, absenteeism, and grade inflation emerged as contributing to the lack of student accountability. This article suggests institutional changes to reanimate college classrooms: explicit expectations; smaller, engaged classes ...
Holly Hassel, Jessica Lourey
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Multi-period DEA-R efficiency for decision making units using network structure
2023Summary: A P-stage network is studied in different time periods here which contains ratio data. Thus a method is given to evaluate the technical efficiency in each time period and overall efficiency after several desired time periods. Also, the efficiency of each stage of such a structure is evaluated in each time period and after several time periods.
Khanlou, Maghsoud Ahmad +4 more
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Incorporating Preference Information in DEA-R and DEA for Efficiency Analysis
2023In this section, we propose the relation between DEA-R. models, DEA with ratio measure as acombination of DEA, Ratio analysis.We descript different ratio data in DEA.We show DEA-R. models have asimilar behavior with DEA. model.We investigate the properties of proposed models.In the following, we proposed concept of value efficiency in DEA, DEA-R ...
Hosseinzadeh Lotfi, F. +4 more
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Cost and Revenue Efficiency Based on MOLP in DEA-R Models
2023In this chapter, cost and revenue efficiency models are presented in DEA and DEA-R, then using the multi-objective linear programming (MOLP) structure, cost and revenue efficiency models are proposed in DEA and DEA-R. Because in the MOLP structure, Pareto-optimal solutions are important, the score of cost efficiency and revenue with the MOLP structure ...
Hosseinzadeh Lotfi, F. +4 more
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A novel slacks-based model for efficiency and super-efficiency in DEA-R
Operational Research, 2021In this paper we present a new model combining the major underlying ideas behind the Slacks-Based Measure (SBM) and the Data Envelopment Analysis-Ratio based (DEA-R) models. This new proposed model computes efficiency and super-efficiency scores based on the corresponding slack values for both input/output and output/input ratios, depending upon the ...
Javad Gerami +3 more
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A novel approach for modelling strategic alliances and partnerships based on the DEA-R models
Japan Journal of Industrial and Applied Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abozar Sohrabi +2 more
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A Slack-Based Model for Efficiency Evaluation in DEA and DEA-R
2023In this chapter, we proposed the slack-based model (SBM) based on DEA-R models. We compare these models to SBM model in DEA. At first, we propose SBM DEA model in the multiple objective linear programming (MOLP). In the following, we convert them in linear programing. Also, we develop SBM DEA based on the central resource allocation (CRA) model.
Hosseinzadeh Lotfi, F. +4 more
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