stochastic/Probabilistic/fuzzy/dynamic modeling
Alireza Hajihosseini; Ali Payan; Ali Salari
Abstract
One of the most important tasks of an organization manager is to evaluate the performance of the units within the organization because only the performance evaluation can inform the manager about the extent to which the organization has stepped toward the goals established to achieve it so that the manager ...
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One of the most important tasks of an organization manager is to evaluate the performance of the units within the organization because only the performance evaluation can inform the manager about the extent to which the organization has stepped toward the goals established to achieve it so that the manager can identify weaknesses, and poor performance of his organization take corrective action and improve the performance of his organization. In this regard, this study has evaluated accurately and inaccurately the relative performance of 11th-grade nongovernmental schools in Sistan and Baluchestan province. There are various methods for assessing the performance of organizations. One of the most important of these methods is data envelopment analysis technique which by comparing the efficiency of organization units with each other separates efficient units from inefficient units. Selection of inputs and outputs in this study was done according to similar research and interviews with experts. In this study, the relative efficiency of 55 of 11th grade nongovernmental Schools in Sistan and Baluchestan province was calculated by using data envelopment analysis for the academic year 1395-1396 and the efficient and inefficient units were identified, then the performance of these schools is presented by a fuzzy interval based on the technical efficiency and the subjective efficiency and finally ranked.
Data Envelopment Analyses
Alireza Hajihosseini; Fatemeh Hekmatpour
Abstract
Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate ...
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Data envelopment analysis is an approach to measuring the relative performance of a set of homogeneous decision-making units. Congestion is also one of the important concepts in data envelopment analysis and economics. Numerous models and methods have been proposed to measure the congestion in an inaccurate environment. The purpose of this paper is to introduce a new approach to measuring congestion in data envelopment analysis so that the data are interval. In this paper, congestion recognition models are used based on comparing inputs with common weights and linear programming intervals and introduced for units with congestion, interval congestion. The proposed method is illustrated for interval data with examples