Limiting flexibility in nonparametric efficiency evaluations: an ex post k-centroid clustering approach

[1]  V. Snášel,et al.  A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends , 2022, Archives of Computational Methods in Engineering.

[2]  M. Afsharian,et al.  Performance analytics in incentive regulation: A literature review of DEA publications , 2022, Decision Analytics Journal.

[3]  M. Davtalab-Olyaie,et al.  Measuring individual efficiency and unit influence in centrally managed systems , 2022, Annals of Operations Research.

[4]  Mohsen Afsharian,et al.  A review of DEA approaches applying a common set of weights: The perspective of centralized management , 2021, Eur. J. Oper. Res..

[5]  Yingming Wang,et al.  A new data envelopment analysis clustering approach within cross-efficiency framework , 2020, J. Oper. Res. Soc..

[6]  Peter Bogetoft,et al.  Identifying production units with outstanding performance , 2020, Eur. J. Oper. Res..

[7]  Mohsen Afsharian,et al.  A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations , 2020, Ann. Oper. Res..

[8]  Emmanuel Thanassoulis,et al.  A frontier-based system of incentives for units in organisations with varying degrees of decentralisation , 2019, Eur. J. Oper. Res..

[9]  Peter Bogetoft,et al.  Measuring potential sub-unit efficiency to counter the aggregation bias in benchmarking , 2019 .

[10]  Barnabé Walheer,et al.  Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995-2015 , 2018, Eur. J. Oper. Res..

[11]  Mohsen Afsharian,et al.  A linear programming approach to efficiency evaluation in nonconvex metatechnologies , 2018, Eur. J. Oper. Res..

[12]  Ali Emrouznejad,et al.  Recent developments on the use of DEA in the public sector , 2018 .

[13]  Alberto Costa,et al.  Complete mixed integer linear programming formulations for modularity density based clustering , 2017, Discret. Optim..

[14]  Mohsen Afsharian,et al.  Multi-period productivity measurement under centralized management with an empirical illustration to German saving banks , 2017, OR Spectr..

[15]  Victor V. Podinovski,et al.  Optimal weights in DEA models with weight restrictions , 2016, Eur. J. Oper. Res..

[16]  Pierre Ouellette,et al.  From partial derivatives of DEA frontiers to marginal products, marginal rates of substitution, and returns to scale , 2016, Eur. J. Oper. Res..

[17]  Ying-jie Tian,et al.  A Comprehensive Survey of Clustering Algorithms , 2015 .

[18]  Diego Prior,et al.  On centralized resource utilization and its reallocation by using DEA , 2014, Ann. Oper. Res..

[19]  Aristidis Likas,et al.  The MinMax k-Means clustering algorithm , 2014, Pattern Recognit..

[20]  Jie Wu,et al.  A clustering method for evaluating the environmental performance based on slacks-based measure , 2014, Comput. Ind. Eng..

[21]  F. Førsund Weight restrictions in DEA: misplaced emphasis? , 2013 .

[22]  Tammo Francksen,et al.  Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach , 2011, Central Eur. J. Oper. Res..

[23]  Ali Emrouznejad,et al.  Some clarifications on the DEA clustering approach , 2011, Eur. J. Oper. Res..

[24]  Jens J. Krüger,et al.  Comment on "A new clustering approach using data envelopment analysis" , 2010, Eur. J. Oper. Res..

[25]  Kwai-Sang Chin,et al.  A neutral DEA model for cross-efficiency evaluation and its extension , 2010, Expert Syst. Appl..

[26]  Miin-Shen Yang,et al.  A new clustering approach using data envelopment analysis , 2009, Eur. J. Oper. Res..

[27]  J. Pastor,et al.  Centralized resource allocation BCC models , 2009 .

[28]  Victor V. Podinovski,et al.  Computation of efficient targets in DEA models with production trade-offs and weight restrictions , 2007, Eur. J. Oper. Res..

[29]  Mette Asmild,et al.  Theoretical perspectives of trade-off analysis using DEA , 2006 .

[30]  Peter Bogetoft,et al.  Estimating the Potential Gains from Mergers , 2005 .

[31]  Rui Xu,et al.  Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.

[32]  S. Lozano,et al.  Centralized Resource Allocation Using Data Envelopment Analysis , 2004 .

[33]  V. V. Podinovski,et al.  Production trade-offs and weight restrictions in data envelopment analysis , 2004, J. Oper. Res. Soc..

[34]  Emmanuel Thanassoulis,et al.  Incorporating Value Judgments in DEA , 2004 .

[35]  G. Battese,et al.  A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies , 2004 .

[36]  Finn R. Førsund,et al.  Productivity development of Norwegian electricity distribution utilities , 1998 .

[37]  Jeffrey L. Arthur,et al.  Finding all optimal solutions to the reserve site selection problem: formulation and computational analysis , 1997, Environmental and Ecological Statistics.

[38]  E. Thanassoulis A data envelopment analysis approach to clustering operating units for resource allocation purposes , 1996 .

[39]  Rodney H. Green,et al.  Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses , 1994 .

[40]  F. Førsund,et al.  Banking efficiency in the Nordic countries , 1993 .

[41]  Kuo-Ping Chang,et al.  Linear production functions and the data envelopment analysis , 1991 .

[42]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

[43]  A. Charnes,et al.  Constrained game formulations and interpretations for data envelopment analysis , 1989 .

[44]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[45]  R. Banker A game theoretic approach to measuring efficiency , 1980 .

[46]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[47]  Garth P. McCormick,et al.  Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems , 1976, Math. Program..

[48]  A. Charnes,et al.  Programming with linear fractional functionals , 1962 .

[49]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[50]  Masoud Asgharian,et al.  On Pareto-optimality in the cross-efficiency evaluation , 2021, Eur. J. Oper. Res..

[51]  Per J. Agrell,et al.  Endogenous Common Weights as a Collusive Instrument in Frontier-Based Regulation , 2016 .

[52]  Joe Zhu,et al.  DEA Cross Efficiency , 2014 .

[53]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[54]  Jon M. Kleinberg,et al.  An Impossibility Theorem for Clustering , 2002, NIPS.

[55]  Peter Bogetoft,et al.  Efficiency and Merger Gains in the Danish Forestry Extension Service , 2001 .

[56]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .