Directional distance
A fuzzy directional distance measure
... While distance measures traditionally use a single real value to express distance, representing the distance as a FS would give a richer, more accurate comparison, reflecting the uncertainty inherent ...
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Handling negative data using Data Envelopment Analysis: a directional distance approach applied to higher education
... As suggested by Portela et al. (2004), “in the presence of negative data variable return to scale (VRS) technologies need to be assumed”. Thus, in this paper we focus on technical efficiency using a directional ...
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Regional economic growth and environmental efficiency in greenhouse emissions: A conditional directional distance function approach
... conditional directional distance functions this paper investigates the effect of regional economic growth on regions’ environmental efficiency in greenhouse gas ...output directional distance ...
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Bank Efficiency, Productivity and Convergence in EU countries: A Weighted Russell Directional Distance Model
... The objective of this study is three-fold. First we estimate and analyse bank efficiency and productivity changes in the EU28 countries with the application of a novel approach, a weighted Russell directional ...
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Bank efficiency, productivity, and convergence in EU countries: a weighted Russell directional distance model
... The objective of this study is three-fold. First we estimate and analyse bank efficiency and productivity changes in the EU28 countries with the application of a novel approach, a weighted Russell directional ...
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Using Directional Distance Functions to Determine Ranking Ranges in Cross-efficiency Evaluations
... with directional distance function as well as ranking ranges proposed by Alcaraz et ...the directional distance functions are also depicted graphically in ...
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Annex I and non Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence divergence pattern for technology gaps?
... a directional distance function dealing with environmental efficiency with the aim of measuring the ability of decision making units ...of directional distance function under a metafrontier ...
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Measuring regional environmental efficiency: A directional distance function approach
... This paper by applying a directional distance function approach measures the UK regions’ municipality waste performance. In addition the paper constructs conditional stochastic kernels trying to determine ...
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Directional distance functions:optimal endogenous directions
... technology-oriented directional distance function and a set of first-order conditions from the dual cost-minimization and profit-maximization ...our directional distance function to obtain a ...
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A Modified Directional Distance Formulation of DEA with Malmquist Index to Assess Bankruptcy
... a directional distance formulation of DEA by Shetty et al [24] to predict the bankruptcy was developed, by using Malmquist productivity index which will be ...
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Directional Distance-Bounding Identification Protocols
... (A4) Terrorist-Fraud (TF) [12]; a dishonest far-away prover colludes with a close-by actor to succeed in the protocol. In the original TF, it’s assumed that the prover does not leak their secret key to the actor. In the ...
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On the Commensurability of Directional Distance Functions
... In words, an efficiency measure is de-commensurable ex ante if and only if along with the change of units of measurement of inputs and outputs one shall also modify the parameter vector [r] ...
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Measuring the directional distance between fuzzy sets
... in distance measures, consider the following ...A distance measure can be used on these fuzzy sets to determine how much more delicious the food of one restaurant is compared to ...the distance (or ...
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Productivity growth in Malaysian manufacturing sector: A two stage analyses of the malmquist luenberger productivity index
... the directional technology distance functions, which simultaneously adjust desirable and undesirable outputs in a direction chosen by the decision maker (Fried et ...the directional distance ...
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A modified DDF-based super-efficiency model handling negative data
... In conventional DEA models, inputs and outputs are assumed to be non-negative while negative data may occur in some DEA application such as the performance analysis of socially responsible and mutual funds; and the ...
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A variant of radial measure capable of dealing with negative inputs and outputs in data envelopment analysis
... a directional distance model (range directional measure, RDM) using range values (absolute gap between the initial evaluated value and the best observed value of a variable) as the direction vector, ...
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A critical review of the main methods to treat undesirable outputs in DEA
... 2015 Proposes an enhanced directional distance measure model for dealing with desirable and undesirable outputs while allowing some inputs and outputs to be zero through the assessment o[r] ...
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Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland
... Directional Distance Function and the Shadow Pricing of Electric Power Interruptions.. 81.[r] ...
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Baseline analysis of productivity changes with and without considering carbon dioxide emissions in the major manufacturing sector of Indonesia
... the directional distance function to develop the Malmquist- Luenberger productivity index, the Malmquist-Luenberger productivity index has been widely used in various studies at different levels from micro ...
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Evaluating the efficiency of bank branches with random data
... The directional distance function and a positive number, as an improved vector coefficient, are used in this paper when the risk covariance (input) and the average return (output) are ...
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