Data Envelopment Analyses
Mohammad Kachouei; Ali Ebrahimnejad; Hadi Bagherzadeh Valami
Abstract
Purpose: In classical data envelopment analysis models, a production system for measuring performance is considered as a black box and no attention is paid to the internal structure of decision-making units in the process of evaluation performance. However, it is important to consider the internal structure ...
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Purpose: In classical data envelopment analysis models, a production system for measuring performance is considered as a black box and no attention is paid to the internal structure of decision-making units in the process of evaluation performance. However, it is important to consider the internal structure of the units to identify sources of inefficiency to calculate efficiency. On the other hands, the observed values of input and output data in real world problems are sometimes imprecise and vague. Therefore, in this paper, the network data envelopment analysis model is used in order to evaluate the performance of decision-making units with a two-stage structure in a fuzzy environment in which input and output values are displayed in terms of triangular fuzzy numbers.Methodology: To solve the fuzzy two-stage data envelopment analysis model, the fuzzy arithmetic approach is used and a lexicographic optimization method for calculating the fuzzy efficiency of processes and the fuzzy efficiency of the system is proposed.Findings: The main advantage of the proposed approach over the exsiting approaches is that it solves fewer models for finding fuzzy efficiency.Originality/Value: The application of the proposed model is explained by evaluating the performance of 24 insurance companies.
Multi-Attribute Decision Making
ali ebrahimnejad; Morteza Hossein Nataj
Abstract
The extent to which the goals are achieved through the measurement of performance as well as the efficiency and effectiveness of each organization are the principles of organization's dynamism. Therefore, current research has focused on the prioritization of public indicators of performance evaluation ...
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The extent to which the goals are achieved through the measurement of performance as well as the efficiency and effectiveness of each organization are the principles of organization's dynamism. Therefore, current research has focused on the prioritization of public indicators of performance evaluation of Mazandaran province's employee through the fuzzy hierarchy analysis process. Since the evaluation of criteria is essentially subjective and qualitative, it is difficult for experts and decision-makers to express their judgments and preferences in terms of exact numerical values. Hence, the fuzzy hierarchical process analysis process, based on the concept of fuzzy theory, is used in this research. In this method, paired comparisons are performed based on linguistic words and fuzzy numbers. Accordingly,, the fuzzy pair comparisons were designed and sub-indices and were distributed to completion between experts. Then, using the Fuzzy Analytical Hierarchy Process and Expert Choice software, the fuzzy weights of each of the indices and sub-indices were determined and compared using one of the effective methods for ranking fuzzy quantities. The results show that among the general indicators of employee performance evaluation, the index of initiative and creativity was the first priority