• فهرست مقالات interval efficiency

      • دسترسی آزاد مقاله

        1 - Data envelopment analysis with imprecise data revisited
        Mohammad Izadikhah Dimitris K. Despotis
        Wang et al. (2005) proposed a pair of data envelopment analysis (DEA) models to deal with the efficiency assessment of decision-making units (DMU) in the presence of interval input/output data. Their approach was developed with reference to an earlier approach proposed چکیده کامل
        Wang et al. (2005) proposed a pair of data envelopment analysis (DEA) models to deal with the efficiency assessment of decision-making units (DMU) in the presence of interval input/output data. Their approach was developed with reference to an earlier approach proposed by Despotis and Smirlis (2002) for the same problem. Given that the input/output data are given as interval numbers, the efficiency scores are interval measures as well. In such a setting, both approaches provide lower and upper bounds for the efficiency scores. Wang et al. (2005) claim that the lower and upper bounds calculated in Despotis and Smirlis (2002) are incorrect. Then, they present different models to calculate the true bounds. In this paper, we counter-argue their claim and we show that the Despotis and Smirlis bounds are correct and those provided in Wang et al. are estimated in a manner that they fail to satisfy an obvious property that they should possess. We illustrate our arguments with a counterexample that was originally used in Wang et. al (2005). پرونده مقاله
      • دسترسی آزاد مقاله

        2 - The interval Malmquist productivity index in DEA
        ف. رضایی بالف ف. حسین زاده لطفی م. علیزاده افروزی
        One of the most popular approaches to measuring productivity changes is basedon using Malmquist productivity indexes. In this paper we propose a method forobtaining interval Malmquist productivity index (IMPI). The classical DEAmodels have been before used for measuring چکیده کامل
        One of the most popular approaches to measuring productivity changes is basedon using Malmquist productivity indexes. In this paper we propose a method forobtaining interval Malmquist productivity index (IMPI). The classical DEAmodels have been before used for measuring the Malmquist productivity index.The current article extends DEA models for measuring the interval Malmquistproductivity index by utilize the bounded DEA models instead of classical DEAmodels. پرونده مقاله