A new method based on the dispersion of weights in data envelopment analysis

Ranking efficient decision-making units in data envelopment analysis using fuzzy concept

“…In Bal et al (2008), the discriminating power of DEA is improved by restricting the weights of inputs and outputs using the statistical concept. A DEA model which includes the coefficients of variations of input-output weights to the CCR and BCC models was proposed.…”

“…The second and third objective functions are to minimize the maximum quantity among all deviation variables and to minimize the summation of deviations, respectively. Recently, Bal, Orkcu, and Celebioglu (2008) presented a method in which the minimization of the coefficient of variation for input-output weights is added to the DEA model. However, as noted by Wang and Luo (2009), Bal's proposed method has some difficulties.…”

An extended multiple criteria data envelopment analysis model

“…In this regard, the hypotheses for ranking similarity and weight distribution of two certain models are tested based on the resulting rankings and weights from the simulated data. Over and above the studies of Bal et al (2008Bal et al ( , 2010, Shokouhi et al (2010Shokouhi et al ( , 2014 can be also classified into the latter simulation category where the authors used the simulation to analyse the conformity of the rankings of the DMUs resulting from the robust DEA model.…”

“…The consequences on a simulated database are analyzed under various forms of misspecification of the DEA models in order to draw general conclusions with regard to the advantages and disadvantages of the methods being evaluated. The second line of research takes advantage of a Monte Carlo simulation (Bal et al, 2008(Bal et al, , 2010 to test the applicability and performance of a DEA model in comparison with other models in a way that a random variate for a random variable is generated by the inverse method. In this regard, the hypotheses for ranking similarity and weight distribution of two certain models are tested based on the resulting rankings and weights from the simulated data.…”

Ranking Decision Making Units with the Integration of the Multi-Dimensional Scaling Algorithm into PCA-DEA

“…al. [4], Podinovski and Athanassopoulos [5], Meza and Lins [6], Sun and Lu [7], Jahanshahloo et al [8,9], Alirezaee and Afsharian [10], Orkcu and Bal [11], Hosseinzadeh et al [12], Wu et al [13], Bal et al [14,15], Lam [16], Cooper et al [17], and Wang et al [18,19].…”