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Cites:

Information Journal Paper

Title

A Method for Computing the Interval Congestion in Data Envelopment Analysis

Pages

  345-352

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 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.

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    APA: Copy

    Haji hosseini, Alireza, & Hekmatpour, Fatemeh. (2020). A Method for Computing the Interval Congestion in Data Envelopment Analysis. DECISIONS AND OPERATIONS RESEARCH, 4(4 ), 345-352. SID. https://sid.ir/paper/268901/en

    Vancouver: Copy

    Haji hosseini Alireza, Hekmatpour Fatemeh. A Method for Computing the Interval Congestion in Data Envelopment Analysis. DECISIONS AND OPERATIONS RESEARCH[Internet]. 2020;4(4 ):345-352. Available from: https://sid.ir/paper/268901/en

    IEEE: Copy

    Alireza Haji hosseini, and Fatemeh Hekmatpour, “A Method for Computing the Interval Congestion in Data Envelopment Analysis,” DECISIONS AND OPERATIONS RESEARCH, vol. 4, no. 4 , pp. 345–352, 2020, [Online]. Available: https://sid.ir/paper/268901/en

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