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Information Journal Paper

Title

ANALYSIS OF THE TECHNICAL EFFICIENCY OF THE DECISION MAKING UNITS MAKING USE OF THE SYNTHETIC MODEL OF PERFORMANCE PREDICTOR NEURAL NETWORKS, AND DATA ENVELOPMENT ANALYSIS (CASE STUDY: GAS NATIONAL CO. OF IRAN)

Pages

  13-29

Keywords

DEAQ2
DATA ENVELOPMENT ANALYSIS (DEA)Q2
ARTIFICIAL NEURAL NETWORKS (ANNS)Q2

Abstract

 One of the biggest problems of using Data Envelopment Analysis for the evaluation of performance is the weakness of the separability for the decision maker units. This problem is generalizable because of the lower quantity of units in comparison with the input and output quantities of the model [1]. This matter considerably reveals itself in the evaluation process of 23 provincial gas companies considering the higher input and output rates of each provincial gas company. Based on this fact, in this research an integrative model composed of Performance Predictor Neural Networks and Data Envelopment Analysis is designed and used. The results using this model illustrate the strength of the neural network in evaluation and classification of the companies based on their efficiencies.

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  • Cite

    APA: Copy

    AJALLI, M., & SAFARI, H.. (2011). ANALYSIS OF THE TECHNICAL EFFICIENCY OF THE DECISION MAKING UNITS MAKING USE OF THE SYNTHETIC MODEL OF PERFORMANCE PREDICTOR NEURAL NETWORKS, AND DATA ENVELOPMENT ANALYSIS (CASE STUDY: GAS NATIONAL CO. OF IRAN). ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 45(1), 13-29. SID. https://sid.ir/paper/166389/en

    Vancouver: Copy

    AJALLI M., SAFARI H.. ANALYSIS OF THE TECHNICAL EFFICIENCY OF THE DECISION MAKING UNITS MAKING USE OF THE SYNTHETIC MODEL OF PERFORMANCE PREDICTOR NEURAL NETWORKS, AND DATA ENVELOPMENT ANALYSIS (CASE STUDY: GAS NATIONAL CO. OF IRAN). ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;45(1):13-29. Available from: https://sid.ir/paper/166389/en

    IEEE: Copy

    M. AJALLI, and H. SAFARI, “ANALYSIS OF THE TECHNICAL EFFICIENCY OF THE DECISION MAKING UNITS MAKING USE OF THE SYNTHETIC MODEL OF PERFORMANCE PREDICTOR NEURAL NETWORKS, AND DATA ENVELOPMENT ANALYSIS (CASE STUDY: GAS NATIONAL CO. OF IRAN),” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 45, no. 1, pp. 13–29, 2011, [Online]. Available: https://sid.ir/paper/166389/en

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