How to cite this paper
Paul, D., Agarwal, P & Chakraborty, S. (2016). Performance appraisal of Indian state police forces using ARAS method.Management Science Letters , 6(5), 361-372.
Refrences
Diez-Ticio, A., & Mancebon, M.J. (2002). The efficiency of the Spanish police service: An application of the multi-activity DEA model. Applied Economics, 34(3), 351-362.
Drake, L., & Simper, R. (2003). The measurement of English and Welsh police force efficiency: A comparison of distance function models. European Journal of Operational Research, 147(1), 165-186.
Drake, H.M., & Simper, R. (2005). The measurement of police force efficiency: An assessment of UK Home Office policy. Contemporary Economic Policy, 23(4), 465-482.
Garc?a-S?nchez, I.M. (2007). Evaluating the effectiveness of the Spanish police force through data envelopment analysis. European Journal of Law and Economics, 23(1), 43-57.
Ghosh, G. (2007). Police accountability: At the cutting edge level. A.P.H. Publishing Corporation, India.
Gorman, M. F., & Ruggiero, J. (2008). Evaluating US state police performance using data envelopment analysis. International Journal of Production Economics, 113(2), 1031-1037.
Kutut, V., Zavadskas, E.K., & Lazauskas, M. (2013). Assessment of priority options for preservation of historic city centre buildings using MCDM (ARAS). Procedia Engineering, 57, 657-661.
Moore, M.H., & Braga, A.A. (2003). Measuring and improving police performance: The lessons of Compstat and its progeny. Policing: An International Journal of Police Strategies & Management, 26(3), 439-453.
Rao, R.V. (2007). Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. London : Springer-Verlag.
Sadi-Nezhad, S., & Damghani, K.K. (2010). Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police canter’s performance. Applied Soft Computing, 10(4), 1028-1039.
Stanujkic, D., ?or?evi?, B., & ?or?evi?,M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
Sun, S. (2002). Measuring the relative efficiency of police precincts using data envelopment analysis. Socio-Economic Planning Sciences, 36(1), 51-71.
Turskis, Z., & Zavadskas, E.K. (2010). A novel method for multiple criteria analysis: Grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Verma, A., & Gavirneni, S. (2006). Measuring police efficiency in India: An application of data envelopment analysis. Policing: An International Journal of Police Strategies & Management, 29(1), 125-145.
Wu, T.H., Chen, M.S., & Yeh, J.Y. (2010). Measuring the performance of police forces in Taiwan using data envelopment analysis. Evaluation and Program Planning, 33(3), 246-254.
Zavadskas, E.K. & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision?making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E.K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation installment alternatives by applying additive ratio assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141.
Drake, L., & Simper, R. (2003). The measurement of English and Welsh police force efficiency: A comparison of distance function models. European Journal of Operational Research, 147(1), 165-186.
Drake, H.M., & Simper, R. (2005). The measurement of police force efficiency: An assessment of UK Home Office policy. Contemporary Economic Policy, 23(4), 465-482.
Garc?a-S?nchez, I.M. (2007). Evaluating the effectiveness of the Spanish police force through data envelopment analysis. European Journal of Law and Economics, 23(1), 43-57.
Ghosh, G. (2007). Police accountability: At the cutting edge level. A.P.H. Publishing Corporation, India.
Gorman, M. F., & Ruggiero, J. (2008). Evaluating US state police performance using data envelopment analysis. International Journal of Production Economics, 113(2), 1031-1037.
Kutut, V., Zavadskas, E.K., & Lazauskas, M. (2013). Assessment of priority options for preservation of historic city centre buildings using MCDM (ARAS). Procedia Engineering, 57, 657-661.
Moore, M.H., & Braga, A.A. (2003). Measuring and improving police performance: The lessons of Compstat and its progeny. Policing: An International Journal of Police Strategies & Management, 26(3), 439-453.
Rao, R.V. (2007). Decision making in the manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. London : Springer-Verlag.
Sadi-Nezhad, S., & Damghani, K.K. (2010). Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police canter’s performance. Applied Soft Computing, 10(4), 1028-1039.
Stanujkic, D., ?or?evi?, B., & ?or?evi?,M. (2013). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.
Sun, S. (2002). Measuring the relative efficiency of police precincts using data envelopment analysis. Socio-Economic Planning Sciences, 36(1), 51-71.
Turskis, Z., & Zavadskas, E.K. (2010). A novel method for multiple criteria analysis: Grey additive ratio assessment (ARAS-G) method. Informatica, 21(4), 597-610.
Verma, A., & Gavirneni, S. (2006). Measuring police efficiency in India: An application of data envelopment analysis. Policing: An International Journal of Police Strategies & Management, 29(1), 125-145.
Wu, T.H., Chen, M.S., & Yeh, J.Y. (2010). Measuring the performance of police forces in Taiwan using data envelopment analysis. Evaluation and Program Planning, 33(3), 246-254.
Zavadskas, E.K. & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision?making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E.K., Turskis, Z., & Vilutiene, T. (2010). Multiple criteria analysis of foundation installment alternatives by applying additive ratio assessment (ARAS) method. Archives of Civil and Mechanical Engineering, 10(3), 123-141.