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Article

EFFICIENCY MEASUREMENT OF DELIVERY POST OFFICES USING FUZZY DATA ENVELOPMENT ANALYSIS (POSSIBILITY APPROACH)

2 / 1 / 22-29 Pages

Author(s)

Ranko R. Nedeljković - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -

Dragana Drenovac - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -


Abstract

This article integrates fuzzy set theory in Data Envelopment Analysis (DEA) framework to compute technical efficiency scores when input and output data are imprecise. In conventional DEA inputs and outputs data are precise. However, traffic and transportation take place in an uncertain environment and input and output data might be imprecise. This article proposes a possibility approach for solving DEA models with fuzzy data. For the special case in which fuzzy membership functions of fuzzy data are trapezoidal, the possibility approach transforms fuzzy DEA models into linear programming models. By using a group of five post offices in Serbia, this approach is empirically illustrated.


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References:

Boile, M. 2001. Estimating technical and scale inefficiencies of public transit systems, Journal of Transportation Engineering 127(3): 187-193.

 

Charnes, A.; Cooper, W.; Rhodes, E. 1978. Measuring the efficiency of decision making units, European Journal of Operational Research 2: 429-444.

 

Chu, X.; Fielding, G.J.; Lamar, B. 1992. Measuring transit performance using data envelopment analysis, Transportation Research Part A: Policy and Practice 26(3): 223-230.

 

Cooper, W.; Seiford, L.; Tone, K. 2006. Introduction to Data Envelopment Analysis and Its Uses. Springer Science+Business Media Inc. 354 p.

 

Cullinane, K.; Wang, T. 2006. The efficiency of European container ports: a cross-sectional data envelopment analysis, International Journal of Logistics: Research and Applications, 9(1): 19–31.

 

Deprins, D.; Simar, H.; Tulkens, H. 1995. Measuring Labor Efficiency in Post Offices. In Muchard, P. Pestiean, H. Tuklens (eds.) The performance of Public Enterprises, North Holland, 243-267.

 

Doble, M. 1995. Measuring and improving technical efficiency in UK post office counters using data envelopment analysis, Annals of Public and Cooperative Economics, 66(1): 31–64.

 

Drenovac, D.; Nedeljkovic, R. 2011. Efficiency measurement of delivery post offices using data envelopment analysis, Tehnika, 66(2): 275-280, (in Serbian).

 

Knežević, N.; Lekić, S. 2008. Improving of decision making process in postal system using data envelopment analysis, Tehnika, 58(3): 1-12, (in Serbian).

 

Lertworasirikul, S.; Fang, S.C.; Joines, J., Nuttle, H. 2003. Fuzzy data envelopment analysis (DEA): a possibility approach, Fuzzy Sets and Systems 139: 379-394.

 

Lertworasirikul, S. 2002. Fuzzy Data Envelopment Analysis, PhD thesis, Graduate Faculty of North Carolina State University. 105 p.

 

Lindo. 1992. Lindo Systems Inc. Chicago Il.

 

Martić, M.; Guberinić, S.; Knežević, N. 2000. Post office efficiency comparing using data envelopment analysis, PosTel, Belgrade, 33-43, (in Serbian).

 

Mugera, A. 2011. Measuring technical efficiency of dairy farms with imprecise data: a fuzzy data envelopment analysis approach. Available from internet: http://purl.umn.edu/103251.

 

Nedeljković, R.; Drenovac, D. 2008. Fuzzy data envelopment analysis application in postal traffic, PosTel, Belgrade, 47-56, (in Serbian).

 

Pjevčević, D.; Vukadinović, K. 2010. Efficiency measurement of bulk cargo handling at river port using data envelopment analysis, Tehnika, 65(4): 14-19, (in Serbian).

 

Tongzon, J. 2001. Efficiency measurement of selected Australian and other international ports using data envelopment analysis, Transportation Research Part A, 35: 107-122.

 

Zadeh, L. A. 1965. Fuzzy sets, Information and Control, 8: 338-353.


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