Directional Distance Functions
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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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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On the Commensurability of Directional Distance Functions
... the directional vector of UDDF’s has been pre- multiplied by the (non-identity) commensuration matrices, the DDF is no longer a ...use directional distance function with a ‘commensurated’ ...
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Regional economic growth and environmental efficiency in greenhouse emissions: A conditional directional distance function approach
... unconditional directional distance functions an increasing regression line will indicate a favorable exogenous factor, where as a decreasing regression line will indicate an unfavorable ...
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The Directional p-Median Problem with Applications to Traffic Quantization and Multiprocessor Scheduling
... multidimensional directional p-median problem arises when at- tempting to proportion a network to satisfy the various Quality of Service (QoS) demands of many customers, where a particular level of QoS is ...
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A SVM Based Iris Recognition Using Wavelet Packet Transform And Manhattan Distance
... The proposed work was implemented using MATLAB 7.10.0.499(2010a) of Math Works, Inc, USA in the Windows 8.1 operating system with Intel Core i3 generation 5 Processor, 2.10 GHz and 4 GB RAM. Performance parameters FAR ...
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Optimal Coordination of Distance and Directional Overcurrent Relays Considering Different Network Topologies
... Abstract: Most studies in relay coordination have focused solely on coordination of overcurrent relays while distance relays are used as the main protection of transmission lines. Since, simultaneous coordination ...
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Approximate Comparison of Functions Computed by Distance Automata
... In Section 2, we present some classical denitions and we introduce dis- tance automata. We also prove theorem of ane domination (Theorem 3). In Section 3, we formally state our core theorem (Theorem 6), and we apply it ...
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Mixture models for distance sampling detection functions
... detection functions appear useful when dealing with line transect data that has a spike in detection probability at small dis- tances, though we note that it is better to avoid collecting such data in the first ...
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Distance sampling detection functions : 2D or not 2D?
... perpendicular distance (x, in km) plots, the bottom forward distance (y, in km); the left column shows histograms and rug plots of observed data, with fitted PDFs (solid lines) overlaid, while the right ...
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Vol 8, No 8 (2017)
... In this paper, we discuss about common and coincidence fixed point theorems of self maps for altering distance functions and ultra altering distance functions of weak contractions in re[r] ...
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Evaluating the efficiency of bank branches with random data
... In this paper, the BCC model, in output- oriented, is used to analyze stock portfoliosThe investment risk is considered as input and the average return on profit is assumed as output in this model. .( Anderson, R .I., ...
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On Some Class of Distance Functions for Measuring Portfolio Efficiency
... Morey and Morey [1] have developed an approach for gauging portfolio efficiencies in the context of the Markowitz model. Following some recent contributions [2,3], this paper analyzes the axiomatic properties of ...
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A Sentence Similarity Estimation Method Based on Improved Siamese Network
... Since [19] and [20] first applied attention mechanism in machine translation suc- cessfully, attention has been widely used in NLP area, such as text re-construction [21] [22] and text summarization [23] [24]. The ...
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Predicting triadic closure in networks using communicability distance functions
... Abstract. We propose a communication-driven mechanism for predicting triadic closure in complex networks. It is mathematically formulated on the basis of communicability distance func- tions that account for the ...
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Unification of several distance functions and a common fixed point result
... [] proved the existence of some fixed point results for mappings satis- fying a contractive condition in a closed neighborhood of a certain point in an ordered dislocated metric space.. [r] ...
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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 (Cheng and Zervopoulos, 2014) in a methodological framework which allows the co-examination of (i) efficiency differences in terms of productive performance for countries ...
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Environmental targets and shadow prices of bad outputs in organic and conventional farming
... The distance function takes the value of zero for technically efficient output vectors on the boundary of P (x ) , whereas positive values apply to inefficient output vectors below the ...the directional ...
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How To Protect Your Power Supply From Dangerous Currents And Voltages
... Electrical motors are the heart of driving systems in industrial installations. Apart from the standard configuration of the non-directional overcurrent- time protection device ACOS 351, the following additional ...
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Determining Weights in Multi-Objective Linear Programming under Fuzziness
... Some methods for finding weights without decision makers preference are proposed such as [8] and [9]’s studies. By Wahed and Sinna [8], an approach for lexicographic goal programming is proposed. In their study, MOLP is ...
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